Patents
Literature
Hiro is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
Hiro

1839 results about "List" patented technology

In computer science, a list or sequence is an abstract data type that represents a countable number of ordered values, where the same value may occur more than once. An instance of a list is a computer representation of the mathematical concept of a finite sequence; the (potentially) infinite analog of a list is a stream. Lists are a basic example of containers, as they contain other values. If the same value occurs multiple times, each occurrence is considered a distinct item.

Method and system for controlling training

The invention relates to method and system for controlling a training plan for a user having a chosen aim for training, whereat least one parameter describing physical characteristics of the user is determined, anda training plan consists of plurality of days, each day having one or more training sessions or rest, andeach performed and coming session having a training load described by one or more parametersa training template is determined according to the aim and the said one or more parameters describing physical characteristics, each training template having a cumulative training load target according to the said parameter and the chosen aim and consisting of one or more training sessions or rest in each day, each training session of the template having a pre-selected training load, andan adapting window is determined, the adapting window consisting of a plurality of days, which include one or more previous sessions and one or more coming sessions according to the training template, andtraining loads of each session in the adapting window are combined into a cumulative training load, which is compared relatively to the cumulative training load target in the template, anddepending on the comparison one or more coming sessions in the adapting window are adapted by changing one or more training loads of these so that the performed training load and the training load of the coming sessions as a combination meets the cumulative training load target.
Owner:FIRSTBEAT ANALYTICS OY

Prediction by collective likelihood from emerging patterns

A system, method and computer program product for determining whether a test sample is in a first or a second class of data (for example: cancerous or normal), comprising: extracting a plurality of emerging patterns from a training data set, creating a first and second list containing respectively, a frequency of occurrence of each emerging pattern that has a non-zero occurrence in the first and in the second class of data; using a fixed number of emerging patterns, calculating a first and second score derived respectively from the frequencies of emerging patterns in the first list that also occur in the test data, and from the frequencies of emerging patterns in the second list that also occur in the test data; and deducing whether the test sample is categorized in the first or the second class of data by selecting the higher of the first and the second score.
Owner:AGENCY FOR SCI TECH & RES

System, representation, and method providing multilevel information retrieval with clarification dialog

InactiveUS7089226B1Facilitates informationFacilitate speed and accuracyData processing applicationsDigital data processing detailsStratified analysisDialog box
An information retrieval system, including a learning and real-time classification methodology, is provided in accordance with the present invention. The system includes a hierarchal analysis component that receives a query and processes probabilities associated with N categories, each category having one or more topics, wherein N is an integer. An interactive component drives clarification dialog that is derived from the query and the probabilities associated with the N categories and the one or more topics. The clarification dialog, driven by a rule-based policy, a decision-theoretic analysis considering the costs of dialog to focus the results versus the costs of browsing larger lists, or combinations of rules and decision-theoretic analysis is employed when valuable to determine at least one category of the N categories to facilitate retrieval of at least one of the topics.
Owner:MICROSOFT TECH LICENSING LLC

Outerjoin and antijoin reordering using extended eligibility lists

An optimization technique that reorders outerjoins and antijoins with inner joins in a bottom-up optimizer of a relational database management system (RDBMS). Each join predicate is associated with a normal eligibility list (NEL) that includes tables that are referenced in the join predicate and an extended eligibility list (EEL) that includes additional tables that are referenced in conflicting join predicates. An EEL includes all the tables needed by a predicate to preserve the semantics of the original query. During join enumeration, the optimizer determines whether a join predicate's EEL is a subset of all the tables in two subplans to be merged, i.e., whose EEL is covered. If so, the two subplans are combined using the join predicate. Otherwise, the two subplans cannot be joined. Two approaches are used to reordering: without compensation and with compensation. The "without compensation" approach only allows join reorderings that are valid under associative rules. Thus, the optimizer will not combine subplans using a join predicate whose EEL is not covered. The "with compensation" approach allows two subplans to be combined using the join predicate, when a join predicate's EEL is not covered, as long as the join predicate's NEL is covered. Compensation is performed through nullification and best match. Multiple compensations may be merged and performed at any time.
Owner:IBM CORP

Method for determining a partition in order to insert a watermark, and associated insertion and decoding methods

A method of determining a partition into distinct regions of a set of coefficients representative of at least a part of an image in order to insert a watermark comprises the following steps:generation (E501) of a centred pseudo-random sequence (w) equal in size to the cardinal number (N) of the said set of coefficients, formed from centred pseudo-random sub-sequences;modulation (E502) of the said set of coefficients by the said centred pseudo-random sequence (w) in order to insert the same information bit on the said set of coefficients; andchecking (E504–E508), over each region, of a criterion of detectability of the information bit inserted by modulation.Use especially for determining an adaptative partition as a function of a criterion of detectability of an information bit inserted on each region.
Owner:CANON KK

Document revision support program and computer readable medium on which the support program is recorded and document revision support device

To satisfy the needs for stringent control of a record of revisions made to, for example, laws, ordinances, legal documents, patent specifications, industrial codes, documents regarding financial products, specifications, instruction and other manuals, office regulations, bylaws and the like and for strict control of revision histories of editing in the field of publishing and the like. To provide a system for constructing, in a storage device of a computer, data expressing a document to be revised as an XML document, in which a volume, a chapter, a clause, an item, a section, a sub-section, a paragraph and the like of a document to be revised are expressed as a tree structure, assigning to an element corresponding to a branch node of tree structured data a set of a unique revision ID and an attribute representing a type of the revisions written in a list structure every time a revision is made and saving in the element the original document prior to the revision so that a revision operation of the element is performed using the information.
Owner:K PLEX

Multiattribute collaborative filtering recommendation method oriented to social network

The invention discloses a multiattribute collaborative filtering recommendation method oriented to a social network. The multiattribute collaborative filtering recommendation method includes utilizing mass data information of the social network to collect user, friend and item list information, and establishing an original user-item scoring matrix; utilizing a thought of acquiring a middle average value from nine numbers, and performing prediction filling on a sparse matrix; calculating inter-user attracting similarity through a user-item bipartite graph; calculating interaction similarity, linearly combining the attracting similarity with the interaction similarity to acquire comprehensive similarity among users, and searching to acquire a nearest neighbor set of a target user; performing prediction scoring on items to be recommended by the target user according to the nearest neighbor set of the target user, and generating a Top-N recommendation set. By the method, calculating rules of inter-user similarity in a conventional collaborative filtering method are improved, huge impedance brought to the filtering recommendation method and a recommendation system by sparseness of a scoring matrix is reduced, and accuracy of the recommendation system is improved.
Owner:CHONGQING UNIV OF POSTS & TELECOMM
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products