JP2017520825A - 共通特徴にわたるカスタマイズされた識別子 - Google Patents

共通特徴にわたるカスタマイズされた識別子 Download PDF

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JP2017520825A
JP2017520825A JP2016567422A JP2016567422A JP2017520825A JP 2017520825 A JP2017520825 A JP 2017520825A JP 2016567422 A JP2016567422 A JP 2016567422A JP 2016567422 A JP2016567422 A JP 2016567422A JP 2017520825 A JP2017520825 A JP 2017520825A
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ウィールジンスキー、カシミール・マシュー
ジュリアン、デイビッド・ジョナサン
サラ、アンソニー
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JP2016567422A 2014-05-12 2015-04-20 共通特徴にわたるカスタマイズされた識別子 Pending JP2017520825A (ja)

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US201461992168P 2014-05-12 2014-05-12
US61/992,168 2014-05-12
US14/483,054 2014-09-10
US14/483,054 US20150324688A1 (en) 2014-05-12 2014-09-10 Customized classifier over common features
PCT/US2015/026621 WO2015175156A1 (en) 2014-05-12 2015-04-20 Customized classifier over common features

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2020054058A1 (ja) * 2018-09-14 2020-03-19 日本電気株式会社 識別システム、パラメータ値更新方法およびプログラム
JP2020149460A (ja) * 2019-03-14 2020-09-17 ヤフー株式会社 情報処理装置、情報処理方法および情報処理プログラム
JP2023542901A (ja) * 2020-09-28 2023-10-12 クゥアルコム・インコーポレイテッド スパース性を誘導する連合機械学習

Families Citing this family (59)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9990587B2 (en) * 2015-01-22 2018-06-05 Preferred Networks, Inc. Machine learning heterogeneous edge device, method, and system
US10387794B2 (en) * 2015-01-22 2019-08-20 Preferred Networks, Inc. Machine learning with model filtering and model mixing for edge devices in a heterogeneous environment
US20160379139A1 (en) * 2015-06-29 2016-12-29 Secure Islands Technologies Ltd. Adaptive classification of data items
US10937168B2 (en) 2015-11-02 2021-03-02 Cognex Corporation System and method for finding and classifying lines in an image with a vision system
US10152780B2 (en) 2015-11-02 2018-12-11 Cognex Corporation System and method for finding lines in an image with a vision system
US11210595B2 (en) * 2015-11-30 2021-12-28 Allegro Artificial Intelligence Ltd System and method for selective use of examples
US10454877B2 (en) 2016-04-29 2019-10-22 Cisco Technology, Inc. Interoperability between data plane learning endpoints and control plane learning endpoints in overlay networks
US9984314B2 (en) * 2016-05-06 2018-05-29 Microsoft Technology Licensing, Llc Dynamic classifier selection based on class skew
US10091070B2 (en) 2016-06-01 2018-10-02 Cisco Technology, Inc. System and method of using a machine learning algorithm to meet SLA requirements
EP3486863A4 (en) * 2016-07-30 2019-07-10 Huawei Technologies Co., Ltd. PICTURE IDENTIFICATION METHOD AND SENDING DEVICE
US20180089581A1 (en) * 2016-09-27 2018-03-29 Futurewei Technologies, Inc. Apparatus and method for dataset model fitting using a classifying engine
CN109952581A (zh) 2016-09-28 2019-06-28 D5A1有限责任公司 用于机器学习系统的学习教练
US20180129900A1 (en) * 2016-11-04 2018-05-10 Siemens Healthcare Gmbh Anonymous and Secure Classification Using a Deep Learning Network
US20180144244A1 (en) * 2016-11-23 2018-05-24 Vital Images, Inc. Distributed clinical workflow training of deep learning neural networks
US10699184B2 (en) * 2016-12-29 2020-06-30 Facebook, Inc. Updating predictions for a deep-learning model
WO2018175098A1 (en) * 2017-03-24 2018-09-27 D5Ai Llc Learning coach for machine learning system
US10963813B2 (en) 2017-04-28 2021-03-30 Cisco Technology, Inc. Data sovereignty compliant machine learning
CN108959304B (zh) * 2017-05-22 2022-03-25 阿里巴巴集团控股有限公司 一种标签预测方法及装置
US10467324B2 (en) 2017-05-24 2019-11-05 Microsoft Technology Licensing, Llc Data packing techniques for hard-wired multiplier circuits
US11295210B2 (en) 2017-06-05 2022-04-05 D5Ai Llc Asynchronous agents with learning coaches and structurally modifying deep neural networks without performance degradation
JP6869817B2 (ja) * 2017-06-07 2021-05-12 Kddi株式会社 管理装置、管理方法、及びプログラム
US10346724B2 (en) * 2017-06-22 2019-07-09 Waymo Llc Rare instance classifiers
US10477148B2 (en) 2017-06-23 2019-11-12 Cisco Technology, Inc. Speaker anticipation
US10608901B2 (en) 2017-07-12 2020-03-31 Cisco Technology, Inc. System and method for applying machine learning algorithms to compute health scores for workload scheduling
US10091348B1 (en) 2017-07-25 2018-10-02 Cisco Technology, Inc. Predictive model for voice/video over IP calls
KR102610820B1 (ko) * 2017-09-27 2023-12-06 삼성전자주식회사 뉴럴 네트워크 시스템 및 뉴럴 네트워크 시스템의 동작방법
EP3718056A1 (en) * 2017-12-01 2020-10-07 Telefonaktiebolaget LM Ericsson (publ) Selecting learning model
EP3518156A1 (en) * 2018-01-29 2019-07-31 Siemens Aktiengesellschaft A method for collaborative machine learning of analytical models
US11321612B2 (en) 2018-01-30 2022-05-03 D5Ai Llc Self-organizing partially ordered networks and soft-tying learned parameters, such as connection weights
CN108829441B (zh) * 2018-05-14 2022-10-18 中山大学 一种分布式深度学习的参数更新优化系统
US10867067B2 (en) 2018-06-07 2020-12-15 Cisco Technology, Inc. Hybrid cognitive system for AI/ML data privacy
US10446170B1 (en) 2018-06-19 2019-10-15 Cisco Technology, Inc. Noise mitigation using machine learning
US12169792B2 (en) 2018-06-22 2024-12-17 International Business Machines Corporation Adaptive multi-agent cooperative computation and inference
US11199839B2 (en) * 2018-07-23 2021-12-14 Hrl Laboratories, Llc Method of real time vehicle recognition with neuromorphic computing network for autonomous driving
CN109040489B (zh) * 2018-08-02 2021-01-26 中国联合网络通信集团有限公司 电信客服的分配方法和装置
ES2966999T3 (es) 2018-08-03 2024-04-25 Siemens Healthcare Diagnostics Inc Procedimiento y dispositivo para entrenar una rutina de aprendizaje automático para el control de un sistema técnico
KR102095132B1 (ko) * 2018-11-29 2020-03-30 한국과학기술원 음성 검출을 위한 잡음제거 변분 오토인코더 기반의 통합 훈련 방법 및 장치
CN109753580A (zh) * 2018-12-21 2019-05-14 Oppo广东移动通信有限公司 一种图像分类方法、装置、存储介质及电子设备
US11068694B2 (en) * 2019-01-23 2021-07-20 Molecular Devices, Llc Image analysis system and method of using the image analysis system
US10832407B2 (en) * 2019-03-06 2020-11-10 International Business Machines Corporation Training a neural network adapter
US11562248B2 (en) * 2019-04-29 2023-01-24 Advanced Micro Devices, Inc. Data sparsity monitoring during neural network training
US20200364503A1 (en) * 2019-05-15 2020-11-19 International Business Machines Corporation Accurate ensemble by mutating neural network parameters
US11861674B1 (en) 2019-10-18 2024-01-02 Meta Platforms Technologies, Llc Method, one or more computer-readable non-transitory storage media, and a system for generating comprehensive information for products of interest by assistant systems
GB2588614B (en) * 2019-10-29 2023-01-11 Samsung Electronics Co Ltd Method and system for customising a machine learning model
EP3997625A4 (en) 2019-10-29 2022-11-09 Samsung Electronics Co., Ltd. ELECTRONIC DEVICE AND CONTROL METHOD THEREOF
US11681922B2 (en) * 2019-11-26 2023-06-20 Numenta, Inc. Performing inference and training using sparse neural network
US11696119B2 (en) * 2019-12-16 2023-07-04 Qualcomm Incorporated Neural network configuration for wireless communication system assistance
CN111242167B (zh) * 2019-12-30 2023-11-14 深圳奇迹智慧网络有限公司 分布式图像标注方法、装置、计算机设备和存储介质
CN111729310B (zh) * 2020-06-24 2024-02-09 网易（杭州）网络有限公司 游戏道具的整理方法、装置和电子设备
US20220067486A1 (en) * 2020-09-02 2022-03-03 Sap Se Collaborative learning of question generation and question answering
US11599360B2 (en) * 2020-12-14 2023-03-07 Cognitive Science & Solutions, Inc. AI synaptic coprocessor
US12386621B2 (en) * 2020-12-14 2025-08-12 Cognitive Science & Solutions, Inc. AI synaptic coprocessor
US20220414316A1 (en) * 2021-06-23 2022-12-29 International Business Machines Corporation Automated language assessment for web applications using natural language processing
KR102620697B1 (ko) * 2021-07-12 2024-01-02 주식회사 카카오뱅크 딥러닝 기반의 자연어 처리를 통한 메시지 내 이체 정보 판단 방법 및 장치
KR102405726B1 (ko) * 2021-09-08 2022-06-07 에이엠스퀘어 주식회사 클라우드 데이터 전송 정보량의 최적화를 위한 뉴런 모델 기반 제어 장치 및 제어 방법
US20230376736A1 (en) * 2022-05-23 2023-11-23 International Business Machines Corporation Neuron circuits for spiking neural networks
CN114861900B (zh) * 2022-05-27 2024-09-13 清华大学 用于忆阻器阵列的权重更新方法和处理单元
JPWO2024116402A1 (enExample) * 2022-12-02 2024-06-06
WO2025172980A1 (en) * 2024-04-04 2025-08-21 Lenovo (Singapore) Pte. Ltd. Obtaining parameters for a learning model

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2012230614A (ja) * 2011-04-27 2012-11-22 Sony Corp 情報処理装置、情報処理方法、及び、プログラム
JP2013033331A (ja) * 2011-08-01 2013-02-14 Universal Entertainment Corp 識別装置及び識別プログラム

Family Cites Families (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH05324598A (ja) * 1992-05-19 1993-12-07 Fujitsu Ltd ニューラル・ネットワーク学習装置における学習方式
US7349917B2 (en) * 2002-10-01 2008-03-25 Hewlett-Packard Development Company, L.P. Hierarchical categorization method and system with automatic local selection of classifiers
WO2009129008A1 (en) * 2008-04-17 2009-10-22 University Of Utah Research Foundation Multi-channel acoustic echo cancellation system and method
US8340405B2 (en) * 2009-01-13 2012-12-25 Fuji Xerox Co., Ltd. Systems and methods for scalable media categorization
CN101877837B (zh) * 2009-04-30 2013-11-06 华为技术有限公司 一种短信过滤的方法和装置
TWI396105B (zh) * 2009-07-21 2013-05-11 Univ Nat Taiwan 用於模擬個體差異之個人化資訊檢索之數位資料處理方法及其電腦裝置可讀式資訊儲存媒體與資訊檢索系統
KR101472452B1 (ko) * 2010-11-17 2014-12-17 한국전자통신연구원 멀티미디어 데이터 검색 방법, 장치 및 패턴인식 방법
US8719192B2 (en) * 2011-04-06 2014-05-06 Microsoft Corporation Transfer of learning for query classification
US20130304677A1 (en) * 2012-05-14 2013-11-14 Qualcomm Incorporated Architecture for Client-Cloud Behavior Analyzer
CN103679185B (zh) * 2012-08-31 2017-06-16 富士通株式会社 卷积神经网络分类器系统、其训练方法、分类方法和用途
US9292798B2 (en) * 2012-12-21 2016-03-22 International Business Machines Corporation Iterative active feature extraction
US11669748B2 (en) * 2013-05-14 2023-06-06 David Lebow Collaborative sensemaking system and method

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2012230614A (ja) * 2011-04-27 2012-11-22 Sony Corp 情報処理装置、情報処理方法、及び、プログラム
JP2013033331A (ja) * 2011-08-01 2013-02-14 Universal Entertainment Corp 識別装置及び識別プログラム

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2020054058A1 (ja) * 2018-09-14 2020-03-19 日本電気株式会社 識別システム、パラメータ値更新方法およびプログラム
JPWO2020054058A1 (ja) * 2018-09-14 2021-06-03 日本電気株式会社 識別システム、パラメータ値更新方法およびプログラム
JP2020149460A (ja) * 2019-03-14 2020-09-17 ヤフー株式会社 情報処理装置、情報処理方法および情報処理プログラム
JP2023542901A (ja) * 2020-09-28 2023-10-12 クゥアルコム・インコーポレイテッド スパース性を誘導する連合機械学習
JP7706544B2 (ja) 2020-09-28 2025-07-11 クゥアルコム・インコーポレイテッド スパース性を誘導する連合機械学習

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CN106575377B (zh) 2020-05-08
CN106575377A (zh) 2017-04-19
WO2015175154A1 (en) 2015-11-19
EP3143560B1 (en) 2024-03-20
EP3143560A1 (en) 2017-03-22
WO2015175156A1 (en) 2015-11-19
KR20170008747A (ko) 2017-01-24
EP3143561A1 (en) 2017-03-22
KR20170008748A (ko) 2017-01-24
JP2017520824A (ja) 2017-07-27
US20150324689A1 (en) 2015-11-12
US20150324688A1 (en) 2015-11-12
EP3143560C0 (en) 2024-03-20

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