JP5683430B2 - 連続値回帰分析において用いられる特徴を選択する方法 - Google Patents
連続値回帰分析において用いられる特徴を選択する方法 Download PDFInfo
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- JP5683430B2 JP5683430B2 JP2011230987A JP2011230987A JP5683430B2 JP 5683430 B2 JP5683430 B2 JP 5683430B2 JP 2011230987 A JP2011230987 A JP 2011230987A JP 2011230987 A JP2011230987 A JP 2011230987A JP 5683430 B2 JP5683430 B2 JP 5683430B2
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/211—Selection of the most significant subset of features
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- Engineering & Computer Science (AREA)
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- Data Mining & Analysis (AREA)
- Evolutionary Computation (AREA)
- General Physics & Mathematics (AREA)
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- Software Systems (AREA)
- Physics & Mathematics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- General Engineering & Computer Science (AREA)
- Computing Systems (AREA)
- Mathematical Physics (AREA)
- Medical Informatics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US12/961,895 US8429101B2 (en) | 2010-12-07 | 2010-12-07 | Method for selecting features used in continuous-valued regression analysis |
| US12/961,895 | 2010-12-07 |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JP2012123782A JP2012123782A (ja) | 2012-06-28 |
| JP2012123782A5 JP2012123782A5 (enExample) | 2014-10-02 |
| JP5683430B2 true JP5683430B2 (ja) | 2015-03-11 |
Family
ID=46163182
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2011230987A Expired - Fee Related JP5683430B2 (ja) | 2010-12-07 | 2011-10-20 | 連続値回帰分析において用いられる特徴を選択する方法 |
Country Status (2)
| Country | Link |
|---|---|
| US (1) | US8429101B2 (enExample) |
| JP (1) | JP5683430B2 (enExample) |
Families Citing this family (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10007643B2 (en) * | 2014-04-07 | 2018-06-26 | International Business Machines Corporation | Robust regression analysis techniques using exponential random variables |
| JP6187977B2 (ja) | 2014-06-20 | 2017-08-30 | インターナショナル・ビジネス・マシーンズ・コーポレーションInternational Business Machines Corporation | 解析装置、解析方法及びプログラム |
| US9398047B2 (en) * | 2014-11-17 | 2016-07-19 | Vade Retro Technology, Inc. | Methods and systems for phishing detection |
| US10621535B1 (en) | 2015-04-24 | 2020-04-14 | Mark Lawrence | Method and apparatus to onboard resources |
| JP6926978B2 (ja) * | 2017-11-15 | 2021-08-25 | 日本電信電話株式会社 | パラメータ推定装置、トリップ予測装置、方法、及びプログラム |
| US12099909B2 (en) | 2018-03-06 | 2024-09-24 | Tazi AI Systems, Inc. | Human understandable online machine learning system |
| JP7507845B2 (ja) * | 2020-02-13 | 2024-06-28 | 富士フイルム株式会社 | 特徴量選択方法、特徴量選択プログラム、マルチクラス分類方法、マルチクラス分類プログラム、特徴量選択装置、及びマルチクラス分類装置 |
| US20230359781A1 (en) * | 2022-05-04 | 2023-11-09 | At&T Intellectual Property I, L.P. | Feature selection method and system for regression analysis / model construction |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP3534327B2 (ja) * | 1995-02-06 | 2004-06-07 | 株式会社リコー | 信号処理装置 |
| US7505948B2 (en) * | 2003-11-18 | 2009-03-17 | Aureon Laboratories, Inc. | Support vector regression for censored data |
| US7233931B2 (en) | 2003-12-26 | 2007-06-19 | Lee Shih-Jong J | Feature regulation for hierarchical decision learning |
| US7685080B2 (en) * | 2005-09-28 | 2010-03-23 | Honda Motor Co., Ltd. | Regularized least squares classification or regression with leave-one-out (LOO) error |
| US20100094784A1 (en) * | 2008-10-13 | 2010-04-15 | Microsoft Corporation | Generalized kernel learning in support vector regression |
-
2010
- 2010-12-07 US US12/961,895 patent/US8429101B2/en not_active Expired - Fee Related
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2011
- 2011-10-20 JP JP2011230987A patent/JP5683430B2/ja not_active Expired - Fee Related
Also Published As
| Publication number | Publication date |
|---|---|
| US20120143799A1 (en) | 2012-06-07 |
| JP2012123782A (ja) | 2012-06-28 |
| US8429101B2 (en) | 2013-04-23 |
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