Masashi Sugiyama, Hidemitsu Ogawa  Home/Search
Context Related
Links: DBLP | ogawawww.cs.titech.ac....incact.ps.gz Cached: PS.gz PS PDF This document uses CoBlitz to cache paper downloads. If your firewall is blocking outgoing connections to port 3125, you can use these links to download local copies.
Image Update HelpPS.gz PS PDF Problem Downloading? From: ogawawww.cs.titec...publications (more) (Enter author homepages) |
Rate this article:      (best)Comment on this article |
Abstract: The problem of designing input signals for optimal generalization is called active learning. In this paper, we give a two-stage sampling scheme for reducing both the bias and variance, and based on this scheme, we propose two active learning methods. One is the multi-point-search method applicable to arbitrary models. The e#ectiveness of this method is shown through computer simulations. The other is the optimal sampling method in trigonometric polynomial models. This method precisely... (Update)
Cited by: More
Journal of Machine Learning Research 7 (2006) 141--166.. - Based On Conditional (Correct)
The Subspace Information Criterion for Infinite Dimensional.. - Sugiyama, al. (2002) (Correct)
Active Learning for Logistic Regression - Schein (2005) (Correct)
Similar documents (at the sentence level): More
63.8%: Neural Computation, vol.12, no.12, pp.2909--2940, 2000. .. - For Optimal.. (2000) (Correct)
24.2%: Incremental Active Learning in. . . - Sugiyama, al. (Correct)
8.8%: Incremental Active Learning with Bias Reduction - Sugiyama, Ogawa (1999) (Correct)
Active bibliography (related documents): More All
1.4: Incremental Active Learning for Optimal Generalization - Sugiyama, Ogawa (Correct)
0.4: Automated Modeling and Nonlinear Axis Scaling - Leejay Wu (2005) (Correct)
0.3: IEICE Transactions on Fundamentals of Electronics.. - And Computer Sciences (2001) (Correct)
Similar documents based on text: More All
0.8: Pseudo Orthogonal Bases Give the Optimal Solution to Active.. - Sugiyama, Ogawa (1999) (Correct)
0.5: Properties of Incremental Projection Learning - Sugiyama, Ogawa (2001) (Correct)
0.5: Simultaneous Optimization of Sample Points and Models - Sugiyama, al. (2000) (Correct)
Related documents from co-citation: More All
12: Information-based objective functions for active data selection - MacKay
11: Neural network exploration using optimal experiment design - DA - 1994
8: Theory of Optimal Experiments (context) - Fedorov - 1972
BibTeX entry: (Update)
Sugiyama, M., & Ogawa, H. (1999e). Incremental active learning for optimal generalization. Technical Report TR99-0010, Department of Computer Science, Tokyo Institute of Technology, Japan. (available at http://www.cs.titech.ac.jp/TR/tr99.html) http://citeseer.ist.psu.edu/sugiyama00incremental.html More
@article{ sugiyama01incremental,
author = "Masashi Sugiyama and Hidemitsu Ogawa",
title = "Incremental Active Learning for Optimal Generalization",
journal = "Neural Computation",
volume = "12",
number = "12",
pages = "2909-2940",
year = "2001",
url = "citeseer.ist.psu.edu/sugiyama00incremental.html" }
Citations (may not include all citations):594 A new look at the statistical model identification (context) - Akaike - 1974
546 An introduction to bootstrap (context) - Efron, Tibshirani - 1993
258 Cross-validatory choice and assessment of statistical predic.. (context) - Stone - 1974
132 Theory of optimal experiments (context) - Fedorov - 1972
105 Information-based objective functions for active data select.. - MacKay - 1992 ACM
77 Neural network exploration using optimal experiment design - Cohn - 1996
77 Neural network exploration using optimal experiment design - Cohn - 1994 ACM DBLP
55 Regression and the Moore-Penrose pseudoinverse (context) - Albert - 1972
42 Generalized inverses: Theory and applications (context) - Ben-Israel, Greville - 1974
39 Theory of reproducing kernels and its applications (context) - Saitoh - 1988
24 Active learning in multilayer perceptrons - Fukumizu - 1996 DBLP
21 Advances in Neural Information Processing Systems (context) - Mozer, Hasselmo - 1992
21 Advances in Neural Information Processing Systems (context) - Petsche - 1996
13 The kernel function and conformal mapping (context) - Bergman - 1970
10 Minimizing statistical bias with queries - Cohn - 1997 ACM DBLP
9 The equivalence of two extremum problems (context) - Kiefer, Wolfowitz - 1960
9 Integral transform (context) - Saitoh - 1997
8 Improving generalization ability through active learning - Vijayakumar, Ogawa - 1999
7 Computational theory of incremental and active learning for .. - Vijayakumar - 1998
6 Optimal experimental designs (context) - Kiefer - 1959
3 A special issue on reinforcement learning (context) - Kaelbling - 1996
3 Exact incremental projection learning in the presence of noi.. (context) - Sugiyama, Ogawa
1 Theory of reproducing kernels (context) - Learning, Generalization - 1950
1 Projection filter regularization of ill-conditioned problem (context) - Learning, Generalization - 1987
The graph only includes citing articles where the year of publication is known.
Documents on the same site (http://ogawa-www.cs.titech.ac.jp/~sugi/publications.html): More
Pseudo Orthogonal Bases Give the Optimal Solution to Active.. - Sugiyama, Ogawa (1999) (Correct)
Active Learning for Optimal Generalization - Sugiyama, Ogawa (Correct)
Incremental Active Learning in. . . - Sugiyama, al. (Correct)
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC