JP2023088289A - 機械学習において決定木を構築するコンピュータ実装方法、プログラム命令をその中に実装したコンピュータ可読記憶媒体を含むコンピュータプログラム製品、およびシステム（次元削減による分類木と回帰木のパフォーマンス向上） - Google Patents

機械学習において決定木を構築するコンピュータ実装方法、プログラム命令をその中に実装したコンピュータ可読記憶媒体を含むコンピュータプログラム製品、およびシステム（次元削減による分類木と回帰木のパフォーマンス向上） Download PDF

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JP2023088289A
JP2023088289A JP2022194939A JP2022194939A JP2023088289A JP 2023088289 A JP2023088289 A JP 2023088289A JP 2022194939 A JP2022194939 A JP 2022194939A JP 2022194939 A JP2022194939 A JP 2022194939A JP 2023088289 A JP2023088289 A JP 2023088289A
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decision tree
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ファン、ティエン、ズン
Dzung Tien Phan
ファン、マイケル
Huang Michael
ムラリ、パヴァンクマール
Murali Pavankumar
グエン、ミン、ラム
Lam Minh Nguyen
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International Business Machines Corp
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    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/01—Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound
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    • G06F18/00—Pattern recognition
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    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • G06F18/2148—Generating training patterns; Bootstrap methods, e.g. bagging or boosting characterised by the process organisation or structure, e.g. boosting cascade
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    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/243—Classification techniques relating to the number of classes
    • G06F18/24323—Tree-organised classifiers
    • G—PHYSICS
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    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00—Computing arrangements based on specific mathematical models
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
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JP2022194939A 2021-12-14 2022-12-06 機械学習において決定木を構築するコンピュータ実装方法、プログラム命令をその中に実装したコンピュータ可読記憶媒体を含むコンピュータプログラム製品、およびシステム（次元削減による分類木と回帰木のパフォーマンス向上） Pending JP2023088289A (ja)

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US17/550,551 US20230186107A1 (en) 2021-12-14 2021-12-14 Boosting classification and regression tree performance with dimension reduction
US17/550,551 2021-12-14

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JP2023088289A true JP2023088289A (ja) 2023-06-26
JP2023088289A5 JP2023088289A5 (https=) 2026-01-19

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US (1) US20230186107A1 (https=)
JP (1) JP2023088289A (https=)
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US11985102B2 (en) * 2021-04-30 2024-05-14 Asapp, Inc. Processing clusters with mathematical models for message suggestion
CN119153035A (zh) * 2024-08-13 2024-12-17 南京林业大学 一种基于决策树结构对比学习的抑郁症诊断分析方法

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US20120166366A1 (en) * 2010-12-22 2012-06-28 Microsoft Corporation Hierarchical classification system
US20180276564A1 (en) * 2017-03-24 2018-09-27 Microsoft Technology Licensing, Llc Resource-efficient machine learning
WO2020244771A1 (en) * 2019-06-06 2020-12-10 NEC Laboratories Europe GmbH Diversity-aware weighted majority vote classifier for imbalanced datasets
WO2020247949A1 (en) * 2019-06-07 2020-12-10 The Regents Of The University Of California General form of the tree alternating optimization (tao) for learning decision trees
US20210374612A1 (en) * 2020-05-26 2021-12-02 Nec Laboratories America, Inc. Interpretable imitation learning via prototypical option discovery

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US5909681A (en) * 1996-03-25 1999-06-01 Torrent Systems, Inc. Computer system and computerized method for partitioning data for parallel processing
CN106484682B (zh) * 2015-08-25 2019-06-25 阿里巴巴集团控股有限公司 基于统计的机器翻译方法、装置及电子设备
US12229226B2 (en) * 2016-06-30 2025-02-18 The Trustees Of The University Of Pennsylvania Systems and methods for generating improved decision trees
US10748663B2 (en) * 2017-05-04 2020-08-18 Efthymios Kalafatis Machine learning, natural language processing and network analysis-guided discovery related to medical research
US10713534B2 (en) * 2017-09-01 2020-07-14 Kla-Tencor Corp. Training a learning based defect classifier
US12602921B2 (en) * 2020-05-27 2026-04-14 Nvidia Corporation Techniques for modifying and training a neural network
US12482189B2 (en) * 2020-06-10 2025-11-25 Nvidia Corporation Environment generation using one or more neural networks
CN113722908B (zh) * 2021-08-30 2022-04-29 湖南工商大学 一种基于多元非线性回归的纺织物烘干时间判定方法

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120166366A1 (en) * 2010-12-22 2012-06-28 Microsoft Corporation Hierarchical classification system
US20180276564A1 (en) * 2017-03-24 2018-09-27 Microsoft Technology Licensing, Llc Resource-efficient machine learning
WO2020244771A1 (en) * 2019-06-06 2020-12-10 NEC Laboratories Europe GmbH Diversity-aware weighted majority vote classifier for imbalanced datasets
WO2020247949A1 (en) * 2019-06-07 2020-12-10 The Regents Of The University Of California General form of the tree alternating optimization (tao) for learning decision trees
US20210374612A1 (en) * 2020-05-26 2021-12-02 Nec Laboratories America, Inc. Interpretable imitation learning via prototypical option discovery

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CN116263813A (zh) 2023-06-16
US20230186107A1 (en) 2023-06-15
TW202324224A (zh) 2023-06-16

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