JP7335352B2 - アンサンブル・モデルの強化された多様性および学習 - Google Patents

アンサンブル・モデルの強化された多様性および学習 Download PDF

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JP7335352B2
JP7335352B2 JP2021559389A JP2021559389A JP7335352B2 JP 7335352 B2 JP7335352 B2 JP 7335352B2 JP 2021559389 A JP2021559389 A JP 2021559389A JP 2021559389 A JP2021559389 A JP 2021559389A JP 7335352 B2 JP7335352 B2 JP 7335352B2
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サテ、サケト
トゥラガ、ディーパク、スリニバス
アッガーワル、チャル
パブルリ、ベンカタ、ナガラジュ
チャン、ユアン-チ
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    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00Machine learning
    • G06N20/20Ensemble learning
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/21Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/211Selection of the most significant subset of features
    • G06F18/2115Selection of the most significant subset of features by evaluating different subsets according to an optimisation criterion, e.g. class separability, forward selection or backward elimination
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/23Clustering techniques
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/23Clustering techniques
    • G06F18/232Non-hierarchical techniques
    • G06F18/2321Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions
    • G06F18/23213Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions with fixed number of clusters, e.g. K-means clustering
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/24Classification techniques
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/25Fusion techniques
    • G06F18/254Fusion techniques of classification results, e.g. of results related to same input data
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/25Fusion techniques
    • G06F18/259Fusion by voting

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JP2021559389A 2019-04-11 2020-03-18 アンサンブル・モデルの強化された多様性および学習 Active JP7335352B2 (ja)

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US16/381,979 US11593716B2 (en) 2019-04-11 2019-04-11 Enhanced ensemble model diversity and learning
US16/381,979 2019-04-11
PCT/IB2020/052472 WO2020208445A1 (en) 2019-04-11 2020-03-18 Enhanced ensemble model diversity and learning

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JP2022527366A JP2022527366A (ja) 2022-06-01
JP2022527366A5 JP2022527366A5 (https=) 2022-08-12
JP7335352B2 true JP7335352B2 (ja) 2023-08-29

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US12541721B2 (en) * 2022-04-03 2026-02-03 Actimize Ltd. Method for extreme class imbalance within fraud detection
KR20240068162A (ko) * 2022-11-10 2024-05-17 삼성전자주식회사 이미지의 객체를 분류하는 분류 방법 및 이를 수행하는 분류 장치
US12050626B2 (en) * 2022-11-21 2024-07-30 Hewlett Packard Enterprise Development Lp Unsupervised segmentation of a univariate time series dataset using motifs and shapelets
JP2025049280A (ja) * 2023-09-21 2025-04-03 ソフトバンクグループ株式会社 システム
JP2025056785A (ja) * 2023-09-26 2025-04-08 ソフトバンクグループ株式会社 システム
JP7706730B1 (ja) * 2024-08-16 2025-07-14 AI inside株式会社 プログラム、方法、自律分散処理システム
WO2026038705A1 (ko) * 2024-08-16 2026-02-19 주식회사 Lg 경영개발원 예측 시스템 및 이의 제어 방법, 그리고 예측 시스템의 학습 방법
KR102831812B1 (ko) * 2024-08-16 2025-07-09 주식회사 Lg 경영개발원 예측 시스템 및 이의 제어 방법, 그리고 예측 시스템의 학습 방법

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GB2598061A (en) 2022-02-16
WO2020208445A1 (en) 2020-10-15
US11593716B2 (en) 2023-02-28
GB202115645D0 (en) 2021-12-15
US20200327456A1 (en) 2020-10-15
CN113632112A (zh) 2021-11-09
JP2022527366A (ja) 2022-06-01

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