JPWO2019210237A5 - - Google Patents

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JPWO2019210237A5
JPWO2019210237A5 JP2020558533A JP2020558533A JPWO2019210237A5 JP WO2019210237 A5 JPWO2019210237 A5 JP WO2019210237A5 JP 2020558533 A JP2020558533 A JP 2020558533A JP 2020558533 A JP2020558533 A JP 2020558533A JP WO2019210237 A5 JPWO2019210237 A5 JP WO2019210237A5
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machine learning
learning model
training data
layer
layers
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JP2021522574A5 (https=
JP7162074B2 (ja
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JP2020558533A 2018-04-27 2019-04-26 機械学習を行うための方法及びシステム Active JP7162074B2 (ja)

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Application Number Priority Date Filing Date Title
US201862663955P 2018-04-27 2018-04-27
US62/663,955 2018-04-27
PCT/US2019/029450 WO2019210237A1 (en) 2018-04-27 2019-04-26 Method and system for performing machine learning

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JP2021522574A JP2021522574A (ja) 2021-08-30
JP2021522574A5 JP2021522574A5 (https=) 2022-04-07
JPWO2019210237A5 true JPWO2019210237A5 (https=) 2022-04-07
JP7162074B2 JP7162074B2 (ja) 2022-10-27

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US (1) US11308395B2 (https=)
EP (1) EP3785179A4 (https=)
JP (1) JP7162074B2 (https=)
CN (1) CN111919226B (https=)
WO (1) WO2019210237A1 (https=)

Families Citing this family (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR102694572B1 (ko) * 2018-02-20 2024-08-13 삼성전자주식회사 완전 연결 네트워크의 데이터 입력 및 출력을 제어하는 방법 및 장치
TWI767122B (zh) * 2018-05-25 2022-06-11 宏達國際電子股份有限公司 模型建構方法、系統及非揮發性電腦可讀取記錄媒體
US10990850B1 (en) * 2018-12-12 2021-04-27 Amazon Technologies, Inc. Knowledge distillation and automatic model retraining via edge device sample collection
US11537436B2 (en) * 2019-10-02 2022-12-27 Qualcomm Incorporated Method of configuring a memory block allocation of a machine learning network
US20210201110A1 (en) * 2019-12-31 2021-07-01 Alibaba Group Holding Limited Methods and systems for performing inference with a neural network
CN111679959B (zh) * 2020-04-23 2025-04-01 平安科技（深圳）有限公司 计算机性能数据确定方法、装置、计算机设备及存储介质
US20210375441A1 (en) * 2020-05-29 2021-12-02 Regents Of The University Of Minnesota Using clinical notes for icu management
JP7537734B2 (ja) * 2020-08-24 2024-08-21 アシオット株式会社 情報処理装置、及びプログラム
DE102020124174A1 (de) * 2020-09-16 2022-03-17 Elektronische Fahrwerksysteme GmbH Verfahren zur Bereitstellung einer maschinell gelernten Steuerfunktion zur Fahrzeugsteuerung anhand bereitgestellter Fahrzeugsensordaten
WO2022168104A1 (en) * 2021-02-04 2022-08-11 Telefonaktiebolaget Lm Ericsson (Publ) Building an explainable machine learning model
US12125293B2 (en) * 2021-06-17 2024-10-22 Guangzhou Automobile Group Co., Ltd. System, method, and vehicle for recognition of traffic signs
EP4399644A1 (en) * 2021-10-06 2024-07-17 Google LLC Exploring heterogeneous characteristics of layers in asr models for more efficient training
JP7715036B2 (ja) * 2021-12-23 2025-07-30 コニカミノルタ株式会社 ニューラルネットワーク最適化方法、プログラム、および機械学習装置

Family Cites Families (22)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2703010B2 (ja) 1988-12-23 1998-01-26 株式会社日立製作所 ニユーラルネツト信号処理プロセツサ
US6760776B1 (en) * 2000-04-10 2004-07-06 International Business Machines Corporation Method and apparatus for processing network frames in a network processor by embedding network control information such as routing and filtering information in each received frame
US8402543B1 (en) * 2011-03-25 2013-03-19 Narus, Inc. Machine learning based botnet detection with dynamic adaptation
US9566710B2 (en) * 2011-06-02 2017-02-14 Brain Corporation Apparatus and methods for operating robotic devices using selective state space training
JP6042274B2 (ja) 2013-06-28 2016-12-14 株式会社デンソーアイティーラボラトリ ニューラルネットワーク最適化方法、ニューラルネットワーク最適化装置及びプログラム
JP6236296B2 (ja) 2013-11-14 2017-11-22 株式会社デンソーアイティーラボラトリ 学習装置、学習プログラム、及び学習方法
CN104751228B (zh) * 2013-12-31 2018-04-27 科大讯飞股份有限公司 用于语音识别的深度神经网络的构建方法及系统
CN103914735B (zh) * 2014-04-17 2017-03-29 北京泰乐德信息技术有限公司 一种基于神经网络自学习的故障识别方法及系统
CN104536891B (zh) * 2014-12-26 2017-07-11 小米科技有限责任公司 系统测试方法及装置
CN104679654A (zh) * 2015-02-26 2015-06-03 百度在线网络技术（北京）有限公司 测试应用程序的方法、设备及系统
CN104732231B (zh) 2015-04-13 2019-02-26 广州广电运通金融电子股份有限公司 一种有价票据的识别方法
CN104965790B (zh) * 2015-07-17 2018-04-27 小米科技有限责任公司 基于关键字驱动的软件测试方法及系统
US10885438B2 (en) * 2015-12-28 2021-01-05 Microsoft Technology Licensing, Llc Self-stabilized deep neural network
JP6480644B1 (ja) 2016-03-23 2019-03-13 グーグル エルエルシー マルチチャネル音声認識のための適応的オーディオ強化
CN105844300A (zh) * 2016-03-24 2016-08-10 河南师范大学 一种基于随机森林算法的优化分类方法及装置
CN106445806B (zh) * 2016-08-26 2019-09-17 北京小米移动软件有限公司 软件测试方法及装置
KR102619443B1 (ko) * 2016-09-30 2023-12-28 삼성전자주식회사 손목 온도 리듬 획득 장치 및 방법, 심부 체온 리듬 획득 장치 및 방법과, 웨어러블 디바이스
US20180096249A1 (en) * 2016-10-04 2018-04-05 Electronics And Telecommunications Research Institute Convolutional neural network system using adaptive pruning and weight sharing and operation method thereof
US10366302B2 (en) * 2016-10-10 2019-07-30 Gyrfalcon Technology Inc. Hierarchical category classification scheme using multiple sets of fully-connected networks with a CNN based integrated circuit as feature extractor
KR102415506B1 (ko) 2016-10-26 2022-07-01 삼성전자주식회사 뉴럴 네트워크 간소화 방법 및 장치
CN106775521B (zh) * 2016-11-29 2020-09-08 珠海市魅族科技有限公司 熄屏显示方法和装置
CN107300550A (zh) * 2017-06-21 2017-10-27 南京大学 一种基于bp神经网络模型预测大气重金属浓度的方法

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