172 results about "Scoring algorithm" patented technology

Systems, methods, and computer-readable media for detecting threats on a network. In an embodiment, target network traffic being transmitted between two or more hosts is captured. The target network traffic comprises a plurality of packets, which are assembled into one or more messages. The assembled message(s) may be parsed to generate a semantic model of the target network traffic. The semantic model may comprise representation(s) of operation(s) or event(s) represented by the message(s). Score(s) for the operation(s) or event(s) may be generated using a plurality of scoring algorithms, and potential threats among the operation(s) or event(s) may be identified using the score(s).

In a speech training and recognition system, the current invention detects and warns the user about the similar sounding entries to vocabulary and permits entry of such confusingly similar terms which are marked along with the stored similar terms to identify the similar words. In addition, the states in similar words are weighted to apply more emphasis to the differences between similar words than the similarities of such words. Another aspect of the current invention is to use modified scoring algorithm to improve the recognition performance in the case where confusing entries were made to the vocabulary despite the warning. Yet another aspect of the current invention is to detect and warn the user about potential problems with new entries such as short words and two or more word entries with long silence periods in between words. Finally, the current invention also includes alerting the user about the dissimilarity of the multiple tokens of the same vocabulary item in the case of multiple-token training.

A method and a system to transfer payment to a seller associated with a transaction facility are described. In one aspect, a risk level involved in a payment transaction using a scoring algorithm is evaluated based on seller-specific criteria; and a payment is processed based on the evaluation.

A system and method for scoring documents in a search, wherein the scoring algorithm may be reconfigured dynamically. When a query is submitted, a score data structure is created for each document to be scored, which contains fields of information about how a given document compares to a query. A ranker object embodies a formula that derives a scalar score from the information contained in a score data structure. Scoring software is configured to apply the formula embodied in a ranker object to the values in the score data structure. Thus, the scoring formula can be dynamically changed without recompiling the scoring software by providing a new ranker object. Preferably, ranker objects are organized into rank sets, where each rank set contains a different ranker object for each class of document to be scored.

Methods, systems and program storage devices for generating search engine search results. Online files relevant to a requested search query are located by a search engine, while simultaneously previously accessed offline files residing on a client computer are located using the same search query. The search engine retrieves the offline files from the client computer and combines such offline files with the locate online files in a single search result overview. The listing of files within the combined search results are ranked according to relevancy to the search query using a search engine scoring algorithm, whereby the offline files within the combined search results are preferably brought to a user's attention to indicate that such files reside on the client computer.

A lightweight document matcher employs minimal processing and storage. The lightweight document matcher matches new documents to those stored in a database. The matcher lists, in order, those stored documents that are most similar to the new document. The new documents are typically problem statements or queries, and the stored documents are potential solutions such as FAQs (Frequently Asked Questions). Given a set of documents, titles, and possibly keywords, an automatic back-end process constructs a global dictionary of unique keywords and local dictionaries of relevant words for each document. The application front-end uses this information to score the relevance of stored documents to new documents. The scoring algorithm uses the count of matched words as a base score, and then assigns bonuses to words that have high predictive value. It optionally assigns an extra bonus for a match of words in special sections, e.g., titles. The method uses minimal data structures and lightweight scoring algorithms to compute efficiently even in restricted environments, such as mobile or small desktop computers.

A method for reducing recognition errors. The method includes receiving an N-best list associated with an input of a computer based recognition system. The N-best list includes one or more hypotheses and associated confidence values. The input is classified in response to the N-best list, resulting in a classification. A re-scoring algorithm that is tuned for the classification is selected. The re-scoring algorithm is applied to the N-best list to create a re-scored N-best list. A hypothesis for the value of the input is selected based on the re-scored N-best list.

The subject disclosure presents systems and computer-implemented methods for providing reliable risk stratification for early-stage cancer patients by predicting a recurrence risk of the patient and to categorize the patient into a high or low risk group. A series of slides depicting serial sections of cancerous tissue are automatically analyzed by a digital pathology system, a score for the sections is calculated, and a Cox proportional hazards regression model is used to stratify the patient into a low or high risk group. The Cox proportional hazards regression model may be used to determine a whole-slide scoring algorithm based on training data comprising survival data for a plurality of patients and their respective tissue sections. The coefficients may differ based on different types of image analysis operations applied to either whole-tumor regions or specified regions within a slide.

A method for linking related data, such as metadata, from at least two data sources. The method includes formatting items of data of the data sources according to attributes. The method also executes a scoring algorithm for one or more of the attributes to generate a score for one or more sets of the formatted items of data, each of the sets includes an item of data from one data source and an item of data from another data source. Finally the method identifies related items of data of the separate data sources based upon the generated scores to facilitate linking related data of the two data sources. The method may also provide a link between data items of the data sources.

Embodiments of the present invention are directed to methods for providing captioned telephone service. One method includes initiating a first captioned telephone service call. During the first captioned telephone service call, a first set of captions is created using a human captioner. Simultaneous with creating the first set of captions using a human captioner, a second set of captions is created using an automated speech recognition captioner. The first set of captions and the second set of captions are compared using a scoring algorithm. In response to the score of second set of captions being within predetermined range of scores, the call is continued using only the automated speech recognition captioner. In response to the score of second set of captions being outside of a predetermined range of scores, the call is continued using a human captioner.

The invention provides an intelligent target scoring system and method based on a multi-bullet-hole mode recognition algorithm. The system comprises a sound control sensor, a swarm intelligence camera, a supervisory control computer and a mobile client. The intelligence camera is arranged in front of targets. Shooting signals trigger the intelligence camera to collect images through the sound control sensor. A target surface positioning correction algorithm, a multi-bullet-hole recognition sorting algorithm and a target scoring algorithm are used for acquiring the bullet hole type and shooting scoring information in real time, and then the information is uploaded to the supervisory control computer and the mobile client through an internal WIFI module. The mobile client conducts voice target scoring, the supervisory control computer displays the shooting scoring information of each shooter in real time, and a user interface is provided for performing statistical query and intelligent management on the shooting information. According to the intelligent target scoring system and method, shooting target scoring of each target is independent and does not depend on the supervisory control computer, the structure is simple, and safety and reliability are achieved; and meanwhile, the provided mode recognition method is high in antijamming capability, the bullet hole recognition rate is high and real-time performance and accuracy can be achieved.

The invention relates to an image evaluation algorithm based on microblog sentiment analysis. The algorithm includes the following steps that microblog client information is collected; secondly, relative microblog keyword database is constructed; thirdly, a microblog sentiment score is calculated, and microblog comment sentiment tendency types are judged; fourthly, microblog comment types are divided and related and matched with enterprise service events; fifthly, an image core is calculated. Microblog comments, related to a power grid, of users serve as research objects, the method combining the text mining technology and sentiment analysis is adopted, the enterprise image scorning algorithm based on microblog sentiment analysis is built, and a strong technical means is provided for power supply enterprises to judge images and take pertinent measures.

The present invention provides a corpus-independent method for determining relevancy of terms to content of text appearing in a document by analyzing the document itself. Conventional information extraction, or other methods, may be applied to a document to generate a list of terms. The invention analyzes the document using relevancy scoring algorithms to determine a term relevancy score representing the term's relevance to the text contained in the document. The scores, including an aggregate score, may be normalized in the process. Based on relevancy scoring, terms are then ranked and further processed. In this manner relevancy is determined based on the subject document itself and by analyzing the occurrences and locations of the terms within the document. Additional techniques may be applied to relate the relevancy scores generated by the present invention to a corpus or collection of documents.

A method of determining and optimizing the location of a new insurance agency is disclosed to increase market penetration of underrepresented markets. The method comprises the use of a scoring algorithm to rank various geographic regions or related zip codes. The scoring algorithm may be implemented by a location modeling system based on variables selected by a user.

A method using integrated software and algorithms for measuring, modeling, benchmarking and validating any Enterprise Content management system, forms processing data capture system or data entry system, including, at the user's option, ingest of special engineered test materials such as a Digital Test Deck®, applying data quality scoring algorithms, use of cost models, validation of downstream business processes, and implementing statistical process control.