RU2018123353A3 - - Google Patents
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- RU2018123353A3 RU2018123353A3 RU2018123353A RU2018123353A RU2018123353A3 RU 2018123353 A3 RU2018123353 A3 RU 2018123353A3 RU 2018123353 A RU2018123353 A RU 2018123353A RU 2018123353 A RU2018123353 A RU 2018123353A RU 2018123353 A3 RU2018123353 A3 RU 2018123353A3
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- RU
- Russia
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/30—Semantic analysis
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/36—Creation of semantic tools, e.g. ontology or thesauri
- G06F16/367—Ontology
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/16—Matrix or vector computation, e.g. matrix-matrix or matrix-vector multiplication, matrix factorization
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
- G06F18/2411—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on the proximity to a decision surface, e.g. support vector machines
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
- G06F40/237—Lexical tools
- G06F40/242—Dictionaries
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
- G06F40/253—Grammatical analysis; Style critique
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/047—Probabilistic or stochastic networks
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N7/00—Computing arrangements based on specific mathematical models
- G06N7/01—Probabilistic graphical models, e.g. probabilistic networks
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
- G06N20/10—Machine learning using kernel methods, e.g. support vector machines [SVM]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/044—Recurrent networks, e.g. Hopfield networks
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/048—Activation functions
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Artificial Intelligence (AREA)
- Data Mining & Analysis (AREA)
- Computational Linguistics (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Evolutionary Computation (AREA)
- Computing Systems (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Life Sciences & Earth Sciences (AREA)
- Biophysics (AREA)
- Molecular Biology (AREA)
- Biomedical Technology (AREA)
- Computational Mathematics (AREA)
- Pure & Applied Mathematics (AREA)
- Mathematical Optimization (AREA)
- Mathematical Analysis (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Algebra (AREA)
- Probability & Statistics with Applications (AREA)
- Databases & Information Systems (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- Medical Informatics (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Animal Behavior & Ethology (AREA)
- Machine Translation (AREA)
Priority Applications (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
RU2018123353A RU2712101C2 (ru) | 2018-06-27 | 2018-06-27 | Предсказание вероятности появления строки с использованием последовательности векторов |
US16/021,689 US10657203B2 (en) | 2018-06-27 | 2018-06-28 | Predicting probability of occurrence of a string using sequence of vectors |
US16/877,245 US10963647B2 (en) | 2018-06-27 | 2020-05-18 | Predicting probability of occurrence of a string using sequence of vectors |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
RU2018123353A RU2712101C2 (ru) | 2018-06-27 | 2018-06-27 | Предсказание вероятности появления строки с использованием последовательности векторов |
Publications (3)
Publication Number | Publication Date |
---|---|
RU2018123353A RU2018123353A (ru) | 2019-12-27 |
RU2018123353A3 true RU2018123353A3 (ru) | 2019-12-27 |
RU2712101C2 RU2712101C2 (ru) | 2020-01-24 |
Family
ID=69022501
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
RU2018123353A RU2712101C2 (ru) | 2018-06-27 | 2018-06-27 | Предсказание вероятности появления строки с использованием последовательности векторов |
Country Status (2)
Country | Link |
---|---|
US (2) | US10657203B2 (ru) |
RU (1) | RU2712101C2 (ru) |
Families Citing this family (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2019159826A (ja) * | 2018-03-13 | 2019-09-19 | 富士通株式会社 | 表示制御プログラム、表示制御装置及び表示制御方法 |
RU2712101C2 (ru) * | 2018-06-27 | 2020-01-24 | Общество с ограниченной ответственностью "Аби Продакшн" | Предсказание вероятности появления строки с использованием последовательности векторов |
US11934414B2 (en) * | 2019-11-20 | 2024-03-19 | Canva Pty Ltd | Systems and methods for generating document score adjustments |
CN112926334A (zh) * | 2019-12-06 | 2021-06-08 | 北京三星通信技术研究有限公司 | 确定词表示向量的方法、装置及电子设备 |
Family Cites Families (20)
Publication number | Priority date | Publication date | Assignee | Title |
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US6272456B1 (en) * | 1998-03-19 | 2001-08-07 | Microsoft Corporation | System and method for identifying the language of written text having a plurality of different length n-gram profiles |
US6394263B1 (en) * | 1999-07-30 | 2002-05-28 | Unisys Corporation | Autognomic decision making system and method |
US7028250B2 (en) * | 2000-05-25 | 2006-04-11 | Kanisa, Inc. | System and method for automatically classifying text |
US7627596B2 (en) * | 2001-02-22 | 2009-12-01 | International Business Machines Corporation | Retrieving handwritten documents using multiple document recognizers and techniques allowing both typed and handwritten queries |
US7016844B2 (en) * | 2002-09-26 | 2006-03-21 | Core Mobility, Inc. | System and method for online transcription services |
GB2407657B (en) * | 2003-10-30 | 2006-08-23 | Vox Generation Ltd | Automated grammar generator (AGG) |
US20070067157A1 (en) * | 2005-09-22 | 2007-03-22 | International Business Machines Corporation | System and method for automatically extracting interesting phrases in a large dynamic corpus |
US7580926B2 (en) * | 2005-12-01 | 2009-08-25 | Adchemy, Inc. | Method and apparatus for representing text using search engine, document collection, and hierarchal taxonomy |
RU2487403C1 (ru) * | 2011-11-30 | 2013-07-10 | Федеральное государственное бюджетное учреждение науки Институт системного программирования Российской академии наук | Способ построения семантической модели документа |
US9037464B1 (en) * | 2013-01-15 | 2015-05-19 | Google Inc. | Computing numeric representations of words in a high-dimensional space |
CN105518656A (zh) * | 2013-08-09 | 2016-04-20 | 行为识别系统公司 | 用于多传感器数据融合的认知神经语言学行为辨识系统 |
US20150051896A1 (en) * | 2013-08-14 | 2015-02-19 | National Research Council Of Canada | Method and apparatus to construct program for assisting in reviewing |
US20170293608A1 (en) * | 2016-04-06 | 2017-10-12 | Omni Ai, Inc. | Unusual score generators for a neuro-linguistic behavioral recognition system |
US9645998B1 (en) * | 2016-06-12 | 2017-05-09 | Apple Inc. | Learning new words |
US10474753B2 (en) * | 2016-09-07 | 2019-11-12 | Apple Inc. | Language identification using recurrent neural networks |
US10091354B1 (en) * | 2016-12-15 | 2018-10-02 | Sorenson Ip Holdings, Llc | Transcribing media files |
US10146768B2 (en) * | 2017-01-25 | 2018-12-04 | Google Llc | Automatic suggested responses to images received in messages using language model |
US20190138887A1 (en) * | 2017-11-01 | 2019-05-09 | Board Of Trustees Of Michigan State University | Systems, methods, and media for gated recurrent neural networks with reduced parameter gating signals and/or memory-cell units |
RU2712101C2 (ru) * | 2018-06-27 | 2020-01-24 | Общество с ограниченной ответственностью "Аби Продакшн" | Предсказание вероятности появления строки с использованием последовательности векторов |
US11093579B2 (en) * | 2018-09-05 | 2021-08-17 | Intel Corporation | FP16-S7E8 mixed precision for deep learning and other algorithms |
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2018
- 2018-06-27 RU RU2018123353A patent/RU2712101C2/ru active
- 2018-06-28 US US16/021,689 patent/US10657203B2/en active Active
-
2020
- 2020-05-18 US US16/877,245 patent/US10963647B2/en active Active
Also Published As
Publication number | Publication date |
---|---|
RU2018123353A (ru) | 2019-12-27 |
US20200004819A1 (en) | 2020-01-02 |
US20200279079A1 (en) | 2020-09-03 |
US10657203B2 (en) | 2020-05-19 |
RU2712101C2 (ru) | 2020-01-24 |
US10963647B2 (en) | 2021-03-30 |
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