On-line learning methods for Gaussian processes

被引：0

作者：

Oba, S ^{[1
]}

Sato, M

Ishii, S

机构：

[1] Nara Inst Sci & Technol, Ikoma 6300101, Japan

[2] ATR Int, Kyoto 6190288, Japan

来源：

IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS | 2003年 / E86D卷 / 03期

关键词：

Gaussian process; on-line learning; Bayesian estimation;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We propose two modifications of Gaussian processes, which aim to deal with dynamic environments. One is a weight decay method that gradually forgets old data, and the other is a time stamp method that regards the time course of data as a Gaussian process. We show experimental results when these modifications are applied to regression problems in dynamic environments. The weight decay method is found to follow the environmental change by automatically ignoring the past data, and the time stamp method is found to predict linear alteration.

引用

页码：650 / 654

页数：5

共 50 条

[21] On-line Gibbs learning
Kim, JW
Sompolinsky, H
[J]. PHYSICAL REVIEW LETTERS, 1996, 76 (16) : 3021 - 3024
[22] Teaching and learning on-line
Richardson, C
[J]. BRITISH JOURNAL OF EDUCATIONAL TECHNOLOGY, 2002, 33 (03) : 356 - 357
[23] On-line Assessment of Comprehension Processes
Martinez, Tomas
Vidal-Abarca, Eduardo
Gil, Laura
Gilabert, Ramiro
[J]. SPANISH JOURNAL OF PSYCHOLOGY, 2009, 12 (01): : 308 - 319
[24] On-line monitoring of factory processes
Morgenroth, B.
Pfau, S.
Weiss, L. Warner
[J]. INTERNATIONAL SUGAR JOURNAL, 2010, 112 (1338): : 342 - 347
[25] An on-line learning algorithm for recurrent neural networks using variational methods
Oh, WG
Suh, BS
[J]. 40TH MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1 AND 2, 1998, : 659 - 662
[26] On-line monitoring of batch processes using Kalman filter and multivariate statistical methods
Di, Liqing
Xiong, Zhihua
Cao, Yujin
Yang, Xianhui
[J]. WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS, 2006, : 5511 - +
[27] Non-invasive spectroscopic on-line methods to monitor industrial processes -: A review
Brooker, MH
Berg, RW
[J]. GREEN INDUSTRIAL APPLICATIONS OF IONIC LIQUIDS, 2003, 92 : 227 - 251
[28] EVALUATION OF DIFFERENT METHODS FOR PRACTICAL LESSONS: CLASSROOM, ON-LINE AND PEER LEARNING
Villarroel, M.
Rebollar, P. G.
Alvir, M.
[J]. ICERI2014: 7TH INTERNATIONAL CONFERENCE OF EDUCATION, RESEARCH AND INNOVATION, 2014, : 4693 - 4698
[29] On-line identification with regularised Evolving Gaussian process
Stepancic, Martin
Kocijan, Jus
[J]. PROCEEDINGS OF THE 2017 EVOLVING AND ADAPTIVE INTELLIGENT SYSTEMS (EAIS), 2017,
[30] On-line EM algorithm for the normalized gaussian network
Sato, M
Ishii, S
[J]. NEURAL COMPUTATION, 2000, 12 (02) : 407 - 432

← 1 2 3 4 5 →