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50 results about "Score distribution" patented technology
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System, method and service for ranking search results using a modular scoring system
ActiveUS20050262050A1Easy to customizeHigh-quality resultData processing applicationsWeb data indexingHeuristicPaper document
A modular scoring system using rank aggregation merges search results into an ordered list of results using many different features of documents. The ranking functions of the present system can easily be customized to the needs of a particular corpus or collection of users such as an intranet. Rank aggregation is independent of the underlying score distributions between the different factors, and can be applied to merge any set of ranking functions. Rank aggregation holds the advantage of combining the influence of many different heuristic factors in a robust way to produce high-quality results for queries. The modular scoring system combines factors such as indegree, page ranking, URL length, proximity to the root server of an intranet, etc, to form a single ordering on web pages that closely obeys the individual orderings, but also mediates between the collective wisdom of individual heuristics.
Owner:GOOGLE LLC
System, method and service for ranking search results using a modular scoring system
ActiveUS7257577B2Easy to customizeHigh-quality resultData processing applicationsWeb data indexingHeuristicModularity
Owner:GOOGLE LLC
Personal identification method, personal identification apparatus, and recording medium
The present invention relates to improving the identification rate for a person without lowering the rate of excluding another person probabilistically. The invention is a personal identification system that finds the verification results of feature data extracted form data showing the physical features of the individual who is the verification source against the pre-registered feature data of the verification object, and identifies the individual by whether or not the degree of similarity obtained by the verification results exceeds a separate threshold value set according to pre-registered feature data, and wherein a separate threshold value calculation device 23 is provided that calculates the separate threshold value based on the verification score distribution of feature data extracted from data showing the physical features of the individual who is the verification source and the corresponding feature data, and the verification score distribution of the feature data extracted from data showing the physical features of the individual who is the verification source and non-corresponding feature data.
Owner:NEC CORP
Methods and systems of authentication
ActiveUS20120188056A1Programme controlElectric signal transmission systemsBiometric dataScore distribution
A method of authentication is provided that includes capturing palm biometric data from an individual, transmitting the biometric data to an authentication system, and generating an authentication biometric template from the captured biometric data with the authentication system. Moreover, the method includes conducting a plurality of verification matching transactions between the authentication biometric template and enrollment biometric templates stored in the authentication system, and between the authentication biometric template and imposter biometric templates stored in the authentication system. Furthermore, the method includes updating a genuine matching score distribution with at least one genuine matching score, updating an imposter matching score distribution with at least one imposter matching score, and calculating a maximum genuine matching score and a minimum imposter matching score. Additionally, the method includes confirming an identity of the individual when the minimum imposter matching score is greater than the maximum genuine matching score.
Owner:DAON TECH
Test question difficulty analysis method and system
InactiveCN107301165AImprove accuracySemantic analysisCharacter and pattern recognitionScore distributionTest question
The invention discloses a test question difficulty analysis method and system. The method comprises the following steps of: obtaining a to-be-analyzed test question; extracting question features of the to-be-analyzed test questions, wherein the question features comprise a question surface feature, an analysis feature and an answer feature; and obtaining a difficulty score of the to-be-analyzed test question according to the question features of the to-be-analyzed test question and a pre-constructed test question difficulty prediction model. According to the method provided by the invention, the difficulty score of the to-be-analyzed test question is predicted according to the question features of the to-be-analyzed test questions, but is not predicted according to history score distribution condition of the to-be-analyzed test questions, so that test question difficulty evaluation can be carried out on cold data conditions, namely, the questions which are not done by students.
Owner:IFLYTEK CO LTD
Multi-model malicious code detection method based on reliability probability interval
ActiveCN108629183AEarly detection of signs of agingCharacter and pattern recognitionPlatform integrity maintainanceData setStatistical analysis
The invention provides a multi-model malicious code detection system based on reliability probability interval. Each machine learning detection model corresponds to a distribution of the underlying data, and various threshold-based detection models can be integrated into the statistical platform, so that the distribution of the semantic code data is detected from the multi-angle view, and the model degradation problem caused by the concept drift is relieved. The detection system changes the prediction mode of 0 or 1 of the existing machine learning detection model, calculates the score based on the existing detection model, carries out statistical analysis, and establishes a isotonic regression function for the score distribution of the sample and the label of the sample. For an unknown sample, according to the score given by the existing detection model, the calculated isotonic regression function is input, the reliability probability interval of a certain label can be given, and theprobability interval can relieve the problem of over-fitting of the fixed threshold to the training data set, the adaptive ability of the detection model to the current dynamic data is improved, and the concept drift phenomenon is found in advance.
Owner:NANKAI UNIV
Hygiene-based discovery of exploited portals
ActiveUS8201255B1Memory loss protectionUnauthorized memory use protectionMalwareApplication software
A hygiene-based determination of legitimacy of activities performed by applications on clients is performed. A receiving module receives, from a client, information regarding an application that is performing an activity on the client. A hygiene score module determines a score distribution for hygiene scores of other clients on which the same type of application has performed the same activity. A correlation module correlates the activity being performed by the application on the client with the score distribution for hygiene scores. A reputation computation module computes, based on the correlation, a reputation score for the activity with respect to the application performing the activity. Finally, a legitimacy identification module identifies, based on the reputation score, whether the activity is an illegitimate activity for the application. Where the activity is illegitimate for the application, a malware management module can conduct various techniques for managing the application which is likely infected with malware.
Owner:CA TECH INC
Personalized assessment method for subject grasping ability of student
InactiveCN108053117AThe assessment results are accurateVersatilityResourcesPersonalizationQuestion answer
The invention discloses a personalized assessment method for a subject grasping ability of a student. According to the method, a middle school student learning a standard subject system is mainly usedas the research object, personalized assessment of the subject grasping ability of the student specifically is assessment of the subject knowledge point grasping ability of the student. The method comprises the steps that a student information database is established; difficulty coefficients of questions are calculated according to a question answering score of the student; a single-time assessment result of the student in a current examination is calculated according to question information and the current score of the student; a personalized assessment result of the accumulated knowledge point grasping ability of the student is calculated based on historical scores of the student and historical question information; and student score distribution and a relative grade of the student arecalculated according to the historical scores of the student, and then a personalized assessment result of the knowledge point grasping ability of the student relative to same-grade students is calculated. The method has good generalization performance and adaptability, and the recognition effect has the advantages of objectivity, reliability and comprehensiveness.
Owner:北京慧辰资道资讯股份有限公司
Hierarchical classification method and device
ActiveCN108229566AIncrease credibilityReduce false and missed identificationCharacter and pattern recognitionNeural architecturesClassification methodsScore distribution
The invention discloses a hierarchical classification method and a device. The method comprises the following steps: receiving input images via a neural network and identifying the images to output normalized scores; searching a maximum score in the normalized scores and determining the corresponding class; judging whether the maximum score is greater than a threshold or not; outputting the maximum score and the corresponding class as identification results when the maximum score is greater than the threshold; converting score distribution into rough class score distribution when the maximum score is not greater than the threshold, then circularly performing the steps of searching the maximum score in the normalized scores, determining the corresponding class and judging whether the maximum score is greater than a threshold or not, stopping circulating when determining that the maximum score is greater than the threshold, and outputting the maximum score and the corresponding class asthe identification results. Through the above manner, the hierarchical classification from fine to rough is achieved, so that the problem of wrong identification or missing identification caused whenall the fine classes of scores are low in the existing image identification task can be solved.
Owner:XIAMEN HUALIAN ELECTRONICS CO LTD
Systems and methods for calibrating a machine learning model
Systems and methods include: collecting digital threat scores of an incumbent digital threat machine learning model; identifying incumbent and successor digital threat score distributions; identifying quantiles data of the incumbent digital threat score distribution; collecting digital threat scores of a successor digital threat machine learning model; calibrating the digital threat scores of the successor digital threat score distribution based on the quantiles data of the incumbent digital threat score distribution and the incumbent digital threat score distribution; and in response to remapping the digital threat scores of the successor digital threat score distribution, publishing the successor digital scores in lieu of the incumbent digital threat scores based on requests for digital threat scores.
Owner:SIFT SCI INC
Image evaluation method and device and computer readable storage medium
ActiveCN110223292AImprove accuracyImage enhancementImage analysisPattern recognitionImaging processing
The embodiment of the invention provides an image evaluation method and device and a computer readable storage medium, and relates to the technical field of image processing. The image evaluation method comprises the steps of obtaining a to-be-evaluated image; calculating the to-be-evaluated image based on a preset image evaluation model to obtain score distribution information of the to-be-evaluated image; and calculating and obtaining an image evaluation value corresponding to the to-be-evaluated image according to the score distribution information. The accuracy of the image evaluation result can be effectively improved.
Owner:XIAMEN MEITUZHIJIA TECH
English oral automatic grading method and system
ActiveCN104992705AEffective global featuresImprove the ability to distinguishSpeech recognitionNerve networkMultiple frame
The invention provides an English oral automatic grading method and system. The method comprises the steps of: extracting multi-frame voice characteristics of voice signals to be detected; inputting the multi-frame voice characteristics into a depth nerve network DNN model, and extracting a frame posterior probability of each frame voice characteristic, wherein the DNN model is trained in advance, the input of the DNN model is the frame voice characteristics, and the output is the frame posterior probabilities of the frame voice characteristics to different pronunciations; carrying out distribution statistics on the frame posterior probability of each frame voice characteristic, and obtaining the global characteristic of the voice signals to be detected; and carrying out grading on the global characteristic by using a multilayer forward nerve network model MLP. Compared with a conventional grading method based on GMM, the method provided by the invention is high noise and channel robustness, higher discrimination is realized for pronunciation quality, and the distribution of obtained scores is more reasonable.
Owner:PACHIRA INFORAMTION TECH BEIJING CO LTD +1
Retrieval device
InactiveUS20110320464A1Reduce computing timeShort calculation timeDigital data information retrievalDigital data processing detailsScore distributionRetrieval result
In conventional retrieval techniques for narrowing down a candidate when there are a plurality of candidates as retrieval results, a method results in a huge number of candidates in order to prevent omission of candidates, whereby the administration cost is increased, and another method involves always processing all candidates, whereby the processing time becomes longer and the response performance is lowered. Retrieval history storage means stores a retrieval history including a content input from input means and a candidate list, narrowing-down method selecting means selects, according to the content of the stored retrieval history, a narrowing-down method from a method of limiting search targets to top-ranked candidates and a method of performing a search again based on inputs made in the past, candidate score update means sets, from the search history, a search candidate and a score thereof according to the selected narrowing-down method, and updates a candidate score based on a character string received from the input means with reference to an index for search, candidate determining means determines a candidate to be presented based on a number of candidates and score distribution which are updated, and candidate presenting means presents, to the user, the determined candidate with reference to name information data.
Owner:MITSUBISHI ELECTRIC CORP
Image processing apparatus
InactiveUS20180153384A1Avoid position shiftImage enhancementImage analysisScore distributionImaging data
An image processing includes multiple pieces of image data capturing biological tissues, a scene determining device configured to determine a photographic scene based on the color moving image data, a score calculating device calculating a score indicative of seriousness of lesion of the biological tissues captured in the image represented by the image data, based on the image data, and a marking device applying marks indicative of a distribution of the scores on the image. The marking device executes a detailed marking process to apply the marks indicating the distribution of the scores in detail, and a simple marking process to apply the marks indicating the distribution of the scores in a manner simpler than the detailed marking process. The marking means executes one of the detailed marking process and the simple marking process in accordance with the result of determination of the photographic scene.
Owner:HOYA CORP
Method for question bank quality evaluation
The invention provides a method for question bank quality evaluation. The method includes the steps that a question bank quality evaluation quantitative model is established, and quality evaluation indexes which comprise one or more of the question reliability index, the question validity index, the score distribution index, the question discrimination index and the question difficulty index are determined; a BP neural network is initialized according to the quality evaluation indexes; the initial weight value and the threshold value of the BP neural network are determined through a particle swarm IM-PSO algorithm based on an immune mechanism; a training sample composed of the quality evaluation indexes is used for training and obtaining the BP neural network for question quality evaluation according to the initial weight value and the threshold value. By the adoption of the method, the global searching capacity of the IM-PSO algorithm is adopted, due to the fact that the diversity of populations is enhanced, a local minimum can be prevented from being gotten into in the searching process, the searching accuracy and the operating efficiency of the algorithm are improved, and finally the purpose of network optimization is achieved.
Owner:张可 +2
Method and equipment for displaying body data
InactiveCN105769341AHealth status is accurately displayedImprove experienceDiagnosticsSurgeryHealth conditionScore distribution
The embodiment of the invention discloses a method and equipment for displaying body data. The method comprises the following steps: acquiring measurement data of a user; in accordance with three preset items, namely a health condition score distribution ratio, a computation rule and the measurement data, acquiring the body data of the user; and displaying the acquired body data of the user. According to the embodiment, the method disclosed by the invention comprises the steps of acquiring the measurement data of the user, acquiring the body data of the user in accordance with three preset items, namely the health condition score distribution ratio, the computation rule and the measurement data, and displaying the acquired body data of the user; since the displayed body data are calculated and acquired from three preset items, namely the health condition score distribution ratio, the computation rule and the measurement data, the body data can be specifically represented by health condition scores, so that the health status of the user can be directly and accurately displayed by a display result, and user experience is greatly improved.
Owner:ZHUHAI YUNMAI TECH CO LTD
Search-ranking-oriented sample selection method based on noise-adding active learning
InactiveCN102446223ASelect validImprove performanceSpecial data processing applicationsInsufficient SampleDiscounted cumulative gain
The invention discloses a search-ranking-oriented sample selection method based on noise-adding active learning. The method comprises the following steps of: carrying out noise adding on unmarked samples so as to generate noise samples; carrying out prediction on the noise samples by using a ranking model trained by a training set so as to obtain the fraction distribution of the sample under the current ranking model; converting the fraction distribution into the ranking distribution, and using the variance of DCG (discounted cumulative gain) to measure ranking distribution so as to characterize uncertainty; and carrying out sample selection by using the uncertainty. By using the method disclosed by the invention, effective sample selection can be performed under the condition of insufficient samples in search ranking, and an effect of more effectively enhancing the performance of a model by using fewer samples can be achieved, thereby achieving the purpose of reducing the cost for sample marking.
Owner:SHANGHAI JIAO TONG UNIV
Information processing apparatus, method and program
ActiveUS8606022B2Appropriate structureCharacter and pattern recognitionInformation processingStructure of Management Information
An information processing apparatus, which creates a tree structure used by a recognition apparatus which recognizes specific information using the tree structure, including a memory unit which stores data including the information to be recognized and data not including the information so as to correspond to a label showing whether or not the data includes the information, a recognition device which recognizes the information and outputs a high score value when the data including the information is input, and a grouping unit which performs grouping of the recognition devices using a score distribution obtained when the data is input into the recognition devices.
Owner:SONY CORP
Methods and systems of authentication
ActiveUS8526682B2Electric signal transmission systemsImage analysisBiometric dataFinancial transaction
Owner:DAON TECH
Extraction method for technological entries representing achievements and capabilities of technological experts
InactiveCN108255796ARaise the level of analysisSolve the disadvantage of not being able to understand the specific expertise of expertsText processingResourcesScore distributionAnnotation
Owner:SOUTH CHINA UNIV OF TECH
Examinee college application simulation system and method
InactiveCN106251260AAccurate acceptance rateData processing applicationsControl lineScore distribution
The present invention provides a candidate voluntary filling simulation system and method. The candidate voluntary filling simulation system includes: a collection module, a voluntary filling module, a simulation analysis module and a recommendation module, wherein the collection module is used to collect control lines over the years, adjustments over the years The grade line, the distribution of the admission scores of each university over the years and the control line of the year; the voluntary reporting module is used to receive the externally input candidates' scores and voluntary information; the simulation analysis module is used to base the control line over the years, the grade adjustment line over the years, and each school The distribution of admission scores over the years, the control line of the year and the scores of candidates, analyze the admission rate of each school; the recommendation module is used to make recommendations for voluntary submissions based on voluntary information and admission rates. The scheme provided by the invention can effectively improve the acceptance rate of voluntary filling.
Owner:LANGCHAO ELECTRONIC INFORMATION IND CO LTD
Speaker confirmation method adopting unsupervised clustering score regularity
ActiveCN110110790AImprove confirmation accuracyCharacter and pattern recognitionExpectation–maximization algorithmData set
The invention discloses a speaker confirmation method adopting unsupervised clustering score regularity, which comprises the following steps of: testing a current speaker model of a registration set and a regularized data set containing L corpora to obtain L test scores; clustering the L test scores by using a K-means algorithm, and screening out a plurality of types of scores with the front meanvalues; adopting an expectation maximization algorithm to cluster a plurality of types of screened scores, introducing a Gaussian mixture model to fit score distribution for probability distribution,and after the Gaussian mixture model converges, taking a Gaussian unit mean value with the maximum mean value and a standard deviation as score regularization parameters of the current speaker model;regularizing L test scores by using score regularity parameters, and performing speaker confirmation by using the regularized scores.
Owner:UNIV OF SCI & TECH OF CHINA
Method and system for detecting individual anxiety level
ActiveCN109620266AAvoid the problem of lack of objective and reliable detection indicatorsResults are stable and repeatableMedical automated diagnosisSensorsScore distributionAnxiety
The invention discloses a method and system for detecting an individual anxiety level, the method comprises the following steps: providing N attention suppression capability test signals for an subject, obtaining N attention suppression capability responses and N groups of eye movement data returned by the subject to the N attention suppression capability test signals; calculating the detection accuracy of the attention suppression capability of the subject according to the N attention suppression capability responses; according to the detection accuracy rate and the N groups of the eye movement data and the like, scoring the attention suppression capability of the subject to obtain a score of the attention suppression capability; inquiring a score distribution table of attention suppression capabilities corresponding to different anxiety levels; and predicting the anxiety level of the subject. According to the detection system, strict task-independent interference stimulation is adopted for detection, irrelevant information interference caused by a target is eliminated, the obtained detection result is stable and repeatable, and the problem that an oral reporting type scale lacksobjective and reliable detection indexes is avoided.
Owner:SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
Test paper intelligent generation method and device, computer equipment and storage medium
PendingCN110377689AAvoid issues with weaker confidentialityImprove confidentialityWeb data indexingText database indexingElectronic documentBasic knowledge
The invention discloses an intelligent test paper generation method and a device, computer equipment and a storage medium. The method comprises the following steps of: obtaining a pre-stored electronic document, crawing basic knowledge points from the pre-stored electronic document in a web crawler mode; and according to the basic knowledge points, generating basic test question bank, the problemof weak test question confidentiality caused by directly obtaining the existing test questions from the network is avoided; the confidentiality of the generated test paper is improved; meanwhile, whenan examination paper generation request is received, obtaining score distribution of knowledge points contained in the examination paper from the request; according to the score distribution and thecorresponding relationship between each basic test question and the score distribution of the knowledge points contained in the basic test questions, calculating the score distribution of the knowledge points; according to the method, selecting the basic test questions meeting the score distribution of the knowledge points contained in the examination paper from the basic test questions containedin the basic test question bank to serve as the target test questions, the test paper meeting the requirements is intelligently generated according to the distribution of the knowledge points, the test paper generation efficiency is improved, and the practicability of the generated test paper is higher.
Owner:ONE CONNECT SMART TECH CO LTD SHENZHEN
Competitive sports teamwork mode analogy method based on chordal graph visualization
ActiveCN104318068AEasy to understandEasy to analyzeSpecial data processing applicationsCompetitive sportScore distribution
The invention discloses a competitive sports teamwork mode analogy method based on chordal graph visualization. The method comprises the following steps: 1) establishing a foundation database of game related information; 2) constructing a chordal graph according to the assisting information of players in a single game live broadcast record, i.e. dividing each player into a scoring sector and an assisting sector, respectively representing a scoring record and an assisting frequency record of each player, connecting the corresponding assisting sectors and scoring sectors of both cooperated parties by a chord so as to obtain a detail record of a game; 3) clustering the players with a multidimensional scaling method according to the historical record data of mutual assisting information of players in a team to obtain the two-dimensional coordinates of m vectors so as to obtain the clustering information of m players. Compared with the prior art, the competitive sports teamwork mode analogy method has the characteristics that chordal graph visualization design is adopted so as to bring convenience for users to better know and analyze game score distribution and player cooperation situations.
Owner:TIANJIN UNIV
Score distribution prediction method and device
The invention provides a score distribution prediction method and device. The method comprises the following steps: constructing an objective function comprising a symbol function for describing the correlation between two score potential factor vectors and a distance function for calculating the distance between the two score potential factor vectors; inputting training set data, determining a scoring potential factor matrix during current iteration, and calculating a scoring potential factor matrix during next iteration according to the scoring potential factor matrix to obtain a new matrix;substituting the new matrix into an objective function, and solving a first derivative of the objective function; and when the value of the F norm of the first derivative at the new matrix is smallerthan a preset termination threshold value, obtaining a score distribution prediction result of the to-be-predicted sample according to the new matrix, otherwise, taking the new matrix as a score potential factor matrix during current iteration again, and repeating the steps. According to the scheme, the symbol function and the distance function are introduced into the objective function, the correlation between the scoring labels is considered, and therefore the prediction accuracy can be improved when the scoring distribution is predicted based on the correlation.
Owner:SOUTHWEST PETROLEUM UNIV
System and method for generating and employing short length iris codes
Owner:INT BUSINESS MASCH CORP
Virtual prize distribution method and device and electronic equipment
InactiveCN107773985AImprove team experienceGood for healthVideo gamesDistribution methodScore distribution
An embodiment of the invention provides a virtual prize distribution method and device and electronic equipment and relates to the technical field of data processing. The virtual prize distribution method comprises steps as follows: scores of each player participating in a game task and completing the game task are acquired, and the scores are obtained according to contribution degree of the player to the game task; at least one prize corresponding to the game task is shown to the players participating in the game task; a score distribution result, aiming at the at least one prize, fed back byeach player is obtained, and the sum of the scores, distributed to the at least one prize, of each player participating in the game task is not higher than the scores of the player completing the game task; aiming at each prize, the prize is distributed to the player with the highest distribution scores for the prize. According to the virtual prize distribution method and device and the electronic equipment, reasonability of game prize distribution can be improved, and motivation of the players is improved.
Owner:BEIJING KNOWNSEC INFORMATION TECH
Examination paper reading system and marking implementation method thereof
InactiveCN101859338AAccurate and effective mastery of knowledgeElectrical appliancesSpecial data processing applicationsTest takerScore distribution
The invention discloses an examination paper reading system and a marking implementation method thereof. The method comprises the following steps of: A, acquiring and displaying practical examination paper scanning data; B, searching and displaying examination point information corresponding to examination questions in the practical examination paper scanning data according to a corresponding relationship between the pre-stored examination questions and the examination point information thereof; and C, judging whether instructions of externally selecting the examination point information are acquired, if so, establishing and displaying a corresponding relationship between the selected examination point information and the practical examination paper scanning data. The system and the method can display the examination point information corresponding to each examination question of examinee paper and the score distribution condition corresponding to the examination point information so as to conveniently, efficiently and quickly count the mastering condition of each examination point in the examination paper and provide precise data support for comprehensively analyzing the whole examination or the answering condition of each examinee.
Owner:SHENZHEN SEA SKY LAND TECH
Patient health state compound score distribution and/or representative compound score based thereon
A method includes generating at least first and second histograms respectively for at least first and second sets of vital sign measurements using at least first and second predetermined bins. The first and second sets of the vital sign measurements each include at least two measurements acquired at different times, and the first and second vital sign are different vital signs. The method further includes generating a first score distribution for the first vital sign by mapping each bin of the first predetermined bins to a corresponding predetermined score. The method further includes generating a second score distribution for the second vital sign by mapping each bin of the second predetermined bins to a corresponding predetermined score. The method further includes generating a compound score distribution for the first and second vital signs based on the first and second score distributions, the compound score distribution indicates a patient's health state.
Owner:KONINKLJIJKE PHILIPS NV
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