JP4635088B2 - Ｌｏｏ誤差を用いた分類または回帰 - Google Patents

Ｌｏｏ誤差を用いた分類または回帰 Download PDF

Info

Publication number
JP4635088B2
JP4635088B2 JP2008533701A JP2008533701A JP4635088B2 JP 4635088 B2 JP4635088 B2 JP 4635088B2 JP 2008533701 A JP2008533701 A JP 2008533701A JP 2008533701 A JP2008533701 A JP 2008533701A JP 4635088 B2 JP4635088 B2 JP 4635088B2
Authority
JP
Japan
Prior art keywords
regression
regularized
data
classification
circuit
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Expired - Fee Related
Application number
JP2008533701A
Other languages
English (en)
Japanese (ja)
Other versions
JP2009510633A5 (enExample
JP2009510633A (ja
Inventor
リフキン、リャン
リパート、ロス
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Honda Motor Co Ltd
Original Assignee
Honda Motor Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Honda Motor Co Ltd filed Critical Honda Motor Co Ltd
Publication of JP2009510633A publication Critical patent/JP2009510633A/ja
Publication of JP2009510633A5 publication Critical patent/JP2009510633A5/ja
Application granted granted Critical
Publication of JP4635088B2 publication Critical patent/JP4635088B2/ja
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • 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
    • G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/22—Matching criteria, e.g. proximity measures
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2411—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on the proximity to a decision surface, e.g. support vector machines
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G06N20/10—Machine learning using kernel methods, e.g. support vector machines [SVM]

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • General Engineering & Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Physics & Mathematics (AREA)
  • Artificial Intelligence (AREA)
  • Physics & Mathematics (AREA)
  • Software Systems (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Medical Informatics (AREA)
  • Computing Systems (AREA)
  • Mathematical Physics (AREA)
  • Complex Calculations (AREA)
JP2008533701A 2005-09-28 2006-09-28 Ｌｏｏ誤差を用いた分類または回帰 Expired - Fee Related JP4635088B2 (ja)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US72175305P 2005-09-28 2005-09-28
US11/535,921 US7685080B2 (en) 2005-09-28 2006-09-27 Regularized least squares classification or regression with leave-one-out (LOO) error
PCT/US2006/038199 WO2007038765A2 (en) 2005-09-28 2006-09-28 Regularized least squares classification/regression

Publications (3)

Publication Number Publication Date
JP2009510633A JP2009510633A (ja) 2009-03-12
JP2009510633A5 JP2009510633A5 (enExample) 2010-06-17
JP4635088B2 true JP4635088B2 (ja) 2011-02-16

Family

ID=37900503

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2008533701A Expired - Fee Related JP4635088B2 (ja) 2005-09-28 2006-09-28 Ｌｏｏ誤差を用いた分類または回帰

Country Status (3)

Country Link
US (1) US7685080B2 (enExample)
JP (1) JP4635088B2 (enExample)
WO (1) WO2007038765A2 (enExample)

Families Citing this family (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7933847B2 (en) * 2007-10-17 2011-04-26 Microsoft Corporation Limited-memory quasi-newton optimization algorithm for L1-regularized objectives
US9207344B2 (en) * 2008-06-05 2015-12-08 Westerngeco L.L.C. Combining geomechanical velocity modeling and tomographic update for velocity model building
US8825456B2 (en) * 2009-09-15 2014-09-02 The University Of Sydney Method and system for multiple dataset gaussian process modeling
US9092739B2 (en) * 2010-07-22 2015-07-28 Alcatel Lucent Recommender system with training function based on non-random missing data
US8374907B1 (en) 2010-10-17 2013-02-12 Google Inc. E-commerce price index
US8429101B2 (en) * 2010-12-07 2013-04-23 Mitsubishi Electric Research Laboratories, Inc. Method for selecting features used in continuous-valued regression analysis
US20130116991A1 (en) * 2011-11-08 2013-05-09 International Business Machines Corporation Time series data analysis method, system and computer program
CN111602148B (zh) 2018-02-02 2024-04-02 谷歌有限责任公司 正则化神经网络架构搜索
US11009375B2 (en) * 2018-06-07 2021-05-18 The United States Of America As Represented By The Secretary Of The Army Methodology for in situ characterizing and calibrating an entangled photon distribution system
CN110427681B (zh) * 2019-07-26 2023-02-17 中山大学 压水堆组件形状因子参数化方法
US10956825B1 (en) * 2020-03-16 2021-03-23 Sas Institute Inc. Distributable event prediction and machine learning recognition system
CN113313179B (zh) * 2021-06-04 2024-05-31 西北工业大学 一种基于l2p范数鲁棒最小二乘法的噪声图像分类方法
CN114037860B (zh) * 2021-10-26 2024-04-09 西北工业大学 基于鲁棒最小二乘回归框架的图像分类和特征选择方法
CN115080914B (zh) * 2022-06-21 2025-09-09 山东大学 基于混合迭代正则化的载荷识别方法及系统

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2000234951A (ja) * 1999-02-16 2000-08-29 Toshiba Corp 振動または形状の計測制御方法および装置
JP2003210460A (ja) * 2002-01-18 2003-07-29 Chikayoshi Sumi ずり弾性率計測装置および治療装置
JP2006506190A (ja) * 2002-11-14 2006-02-23 チーム メディカル エル．エル．シー． 診断信号処理方法及びシステム
US7440944B2 (en) * 2004-09-24 2008-10-21 Overture Services, Inc. Method and apparatus for efficient training of support vector machines

Also Published As

Publication number Publication date
WO2007038765A9 (en) 2009-04-30
US20070094180A1 (en) 2007-04-26
US7685080B2 (en) 2010-03-23
JP2009510633A (ja) 2009-03-12
WO2007038765A2 (en) 2007-04-05

Similar Documents

Publication Publication Date Title
US11842284B2 (en) Data discriminator training method, data discriminator training apparatus, non-transitory computer readable medium, and training method
JP4635088B2 (ja) Ｌｏｏ誤差を用いた分類または回帰
Sauer et al. Vecchia-approximated deep Gaussian processes for computer experiments
US10713566B2 (en) Efficient calculations of negative curvature in a hessian free deep learning framework
US7565334B2 (en) Fully bayesian linear regression
US11227213B2 (en) Device and method for improving processing speed of neural network
Franc et al. Greedy algorithm for a training set reduction in the kernel methods
Ngufor et al. Extreme logistic regression
Leiva-Murillo et al. Algorithms for maximum-likelihood bandwidth selection in kernel density estimators
US7853539B2 (en) Discriminating speech and non-speech with regularized least squares
Wang et al. Time-based roofline for deep learning performance analysis
Bucurica et al. A comparison of extreme learning machine and support vector machine classifiers
US20050038638A1 (en) Density morphing and mode propagation for Bayesian filtering
Kanamori et al. Computational complexity of kernel-based density-ratio estimation: A condition number analysis
Adragni et al. Grassmannoptim: An R package for Grassmann manifold optimization
Nestler et al. Learning in high-dimensional feature spaces using ANOVA-based fast matrix-vector multiplication
WO2020040007A1 (ja) 学習装置、学習方法及び学習プログラム
US8805841B2 (en) Clustering system, method and program
Wang et al. Sparse kernel feature extraction via support vector learning
Liu An exact sampler for inference after polyhedral model selection
Reeves et al. An application of gaussian process modeling for high-order accurate adaptive mesh refinement prolongation
CN116468126B (zh) 基于量子梯度下降的求解组合优化问题的迭代量子算法
Kashima et al. Recent advances and trends in large-scale kernel methods
Krause et al. The Mixed-Sparse-Smooth-Model Toolbox (MSSM): Efficient Estimation and Selection of Large Multi-Level Statistical Models
Chalupka Empirical evaluation of Gaussian Process approximation algorithms

Legal Events

Date Code Title Description
A621 Written request for application examination

Free format text: JAPANESE INTERMEDIATE CODE: A621

Effective date: 20090924

A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20100420

A871 Explanation of circumstances concerning accelerated examination

Free format text: JAPANESE INTERMEDIATE CODE: A871

Effective date: 20100420

A975 Report on accelerated examination

Free format text: JAPANESE INTERMEDIATE CODE: A971005

Effective date: 20100510

A131 Notification of reasons for refusal

Free format text: JAPANESE INTERMEDIATE CODE: A131

Effective date: 20100518

A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20100720

A131 Notification of reasons for refusal

Free format text: JAPANESE INTERMEDIATE CODE: A131

Effective date: 20100810

A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20101007

TRDD Decision of grant or rejection written
A01 Written decision to grant a patent or to grant a registration (utility model)

Free format text: JAPANESE INTERMEDIATE CODE: A01

Effective date: 20101109

A01 Written decision to grant a patent or to grant a registration (utility model)

Free format text: JAPANESE INTERMEDIATE CODE: A01

A61 First payment of annual fees (during grant procedure)

Free format text: JAPANESE INTERMEDIATE CODE: A61

Effective date: 20101119

R150 Certificate of patent or registration of utility model

Free format text: JAPANESE INTERMEDIATE CODE: R150

FPAY Renewal fee payment (event date is renewal date of database)

Free format text: PAYMENT UNTIL: 20131126

Year of fee payment: 3

R250 Receipt of annual fees

Free format text: JAPANESE INTERMEDIATE CODE: R250

LAPS Cancellation because of no payment of annual fees