KR20160076520A - 인과적 현출성 시간 추론 - Google Patents

인과적 현출성 시간 추론 Download PDF

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KR20160076520A
KR20160076520A KR1020167012708A KR20167012708A KR20160076520A KR 20160076520 A KR20160076520 A KR 20160076520A KR 1020167012708 A KR1020167012708 A KR 1020167012708A KR 20167012708 A KR20167012708 A KR 20167012708A KR 20160076520 A KR20160076520 A KR 20160076520A
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causal
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learning
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제이슨 프랭크 헌징거
토마스 지아찬 정
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퀄컴 인코포레이티드
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    • G06—COMPUTING OR CALCULATING; 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
    • G06N3/049—Temporal neural networks, e.g. delay elements, oscillating neurons or pulsed inputs
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06N3/042—Knowledge-based neural networks; Logical representations of neural networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
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    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/0495—Quantised networks; Sparse networks; Compressed networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
    • G06N3/061—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using biological neurons, e.g. biological neurons connected to an integrated circuit
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06N3/082—Learning methods modifying the architecture, e.g. adding, deleting or silencing nodes or connections
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06N3/088—Non-supervised learning, e.g. competitive learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06N3/091—Active learning
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06N99/005—

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  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
KR1020167012708A 2013-10-29 2014-10-17 인과적 현출성 시간 추론 Withdrawn KR20160076520A (ko)

Applications Claiming Priority (5)

Application Number Priority Date Filing Date Title
US201361897024P 2013-10-29 2013-10-29
US61/897,024 2013-10-29
US14/160,128 2014-01-21
US14/160,128 US20150120627A1 (en) 2013-10-29 2014-01-21 Causal saliency time inference
PCT/US2014/061018 WO2015065729A2 (en) 2013-10-29 2014-10-17 Causal saliency time inference

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KR20160076520A true KR20160076520A (ko) 2016-06-30

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KR1020167012708A Withdrawn KR20160076520A (ko) 2013-10-29 2014-10-17 인과적 현출성 시간 추론

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US (1) US20150120627A1 (https=)
EP (1) EP3063710A2 (https=)
JP (1) JP2016539407A (https=)
KR (1) KR20160076520A (https=)
CN (1) CN105723383A (https=)
CA (1) CA2926098A1 (https=)
TW (1) TW201531967A (https=)
WO (1) WO2015065729A2 (https=)

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Cited By (2)

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KR20210099415A (ko) * 2020-02-04 2021-08-12 한국과학기술원 퍼베이시브 센서 공간에서 그룹 활동 인식을 위한 인과 관계 인식 패턴 마이닝 시스템
WO2021157831A1 (ko) * 2020-02-04 2021-08-12 한국과학기술원 퍼베이시브 센서 공간에서 그룹 활동 인식을 위한 인과 관계 인식 패턴 마이닝 시스템

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US20150120627A1 (en) 2015-04-30
WO2015065729A2 (en) 2015-05-07
TW201531967A (zh) 2015-08-16
CA2926098A1 (en) 2015-05-07
EP3063710A2 (en) 2016-09-07
JP2016539407A (ja) 2016-12-15
WO2015065729A3 (en) 2015-10-08
CN105723383A (zh) 2016-06-29

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Patent event date: 20160513

Patent event code: PA01051R01D

Comment text: International Patent Application

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