CN114787831B - 改进分类模型的准确性 - Google Patents

改进分类模型的准确性 Download PDF

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CN114787831B
CN114787831B CN202080084010.1A CN202080084010A CN114787831B CN 114787831 B CN114787831 B CN 114787831B CN 202080084010 A CN202080084010 A CN 202080084010A CN 114787831 B CN114787831 B CN 114787831B
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classification
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CN114787831A (zh
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G·拉威赫
E·戈申
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Orbotech Ltd
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    • G06F18/00—Pattern recognition
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    • G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
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    • G06F18/00—Pattern recognition
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    • G06F18/217—Validation; Performance evaluation; Active pattern learning techniques
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    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G—PHYSICS
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    • G06F—ELECTRIC DIGITAL DATA PROCESSING
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    • G06N3/0895—Weakly supervised learning, e.g. semi-supervised or self-supervised learning
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    • G06N3/0985—Hyperparameter optimisation; Meta-learning; Learning-to-learn
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    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/774—Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/776—Validation; Performance evaluation
    • G—PHYSICS
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    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/778—Active pattern-learning, e.g. online learning of image or video features
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    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/778—Active pattern-learning, e.g. online learning of image or video features
    • G06V10/7784—Active pattern-learning, e.g. online learning of image or video features based on feedback from supervisors
    • G06V10/7788—Active pattern-learning, e.g. online learning of image or video features based on feedback from supervisors the supervisor being a human, e.g. interactive learning with a human teacher
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    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
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    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/84—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using probabilistic graphical models from image or video features, e.g. Markov models or Bayesian networks

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CN202080084010.1A 2019-12-05 2020-11-08 改进分类模型的准确性 Active CN114787831B (zh)

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US201962943812P 2019-12-05 2019-12-05
US62/943,812 2019-12-05
PCT/IL2020/051157 WO2021111431A1 (en) 2019-12-05 2020-11-08 Improving accuracy of classification models

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CN114787831B true CN114787831B (zh) 2024-04-16

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JP (1) JP7477608B2 (https=)
KR (1) KR102684032B1 (https=)
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Families Citing this family (7)

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US12067571B2 (en) * 2020-03-11 2024-08-20 Synchrony Bank Systems and methods for generating models for classifying imbalanced data
US20220292661A1 (en) * 2021-03-10 2022-09-15 Adlink Technology Inc. Automated inspection system and operating method thereof
US12217277B2 (en) * 2021-06-18 2025-02-04 Blue Boat Data Inc System and method for in-store customer feedback collection and utilization
US11663023B2 (en) * 2021-07-21 2023-05-30 The Travelers Indemnity Company Systems and methods for dynamic artificial intelligence (AI) graphical user interface (GUI) generation
US12586309B2 (en) 2023-02-01 2026-03-24 Vizuro Taiwan Company Ltd. Machine-learning method on vectorized three-dimensional model and learning system thereof
TWI892076B (zh) * 2023-02-02 2025-08-01 維曙智能科技有限公司 向量化立體模型機器學習方法與學習系統
KR102742448B1 (ko) * 2023-12-19 2024-12-18 항공안전기술원 항공안전데이터의 위해요인 자동 분류 시스템 및 방법

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106575246A (zh) * 2014-06-30 2017-04-19 亚马逊科技公司 机器学习服务
CN110334742A (zh) * 2019-06-10 2019-10-15 浙江大学 一种基于强化学习的通过添加虚假节点的图对抗样本生成方法

Family Cites Families (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8379994B2 (en) 2010-10-13 2013-02-19 Sony Corporation Digital image analysis utilizing multiple human labels
US9672474B2 (en) * 2014-06-30 2017-06-06 Amazon Technologies, Inc. Concurrent binning of machine learning data
US11100420B2 (en) * 2014-06-30 2021-08-24 Amazon Technologies, Inc. Input processing for machine learning
US9886670B2 (en) * 2014-06-30 2018-02-06 Amazon Technologies, Inc. Feature processing recipes for machine learning
US10713589B1 (en) * 2016-03-03 2020-07-14 Amazon Technologies, Inc. Consistent sort-based record-level shuffling of machine learning data
CN110168580B (zh) 2017-01-10 2022-10-04 华为技术有限公司 使用分布式系统训练分类器模型时的容错恢复系统和方法
US10674159B2 (en) * 2017-07-28 2020-06-02 Microsoft Technology Licensing, Llc Effective intra encoding for screen data
CN107391760B (zh) * 2017-08-25 2018-05-25 平安科技（深圳）有限公司 用户兴趣识别方法、装置及计算机可读存储介质
US11494689B2 (en) * 2018-06-05 2022-11-08 Chatterbox Labs Limited Method and device for improved classification
US10719301B1 (en) 2018-10-26 2020-07-21 Amazon Technologies, Inc. Development environment for machine learning media models
JP7243333B2 (ja) * 2019-03-15 2023-03-22 富士通株式会社 情報処理方法、情報処理プログラム、および情報処理装置

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106575246A (zh) * 2014-06-30 2017-04-19 亚马逊科技公司 机器学习服务
CN110334742A (zh) * 2019-06-10 2019-10-15 浙江大学 一种基于强化学习的通过添加虚假节点的图对抗样本生成方法

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TWI834011B (zh) 2024-03-01
CN114787831A (zh) 2022-07-22
KR20220110264A (ko) 2022-08-05
JP2023505201A (ja) 2023-02-08
WO2021111431A1 (en) 2021-06-10
TW202139079A (zh) 2021-10-16
US11640559B2 (en) 2023-05-02
JP7477608B2 (ja) 2024-05-01
US20210174148A1 (en) 2021-06-10
KR102684032B1 (ko) 2024-07-10

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