M. Sugiyama, et al.  Home/Search
Context
Related
| ogawawww.cs.titech.ac...NC9911a.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 From: ogawawww.cs.titec...publications (more) (Enter author homepages) |
Rate this article:      (best)Comment on this article |
Abstract: this paper, we propose an active learning (Update)
Similar documents (at the sentence level): More
45.2%: Incremental Active Learning for Optimal Generalization - Sugiyama, Ogawa (Correct)
32.3%: Neural Computation, vol.12, no.12, pp.2909--2940, 2000. .. - For Optimal.. (2000) (Correct)
25.8%: Incremental Active Learning with Bias Reduction - Sugiyama, Ogawa (1999) (Correct)
Active bibliography (related documents): More All
0.7: Properties of Incremental Projection Learning - Sugiyama, Ogawa (2000) (Correct)
0.6: IEICE Transactions on Fundamentals of Electronics.. - And Computer Sciences (2001) (Correct)
0.6: Active Learning for Optimal Generalization in Trigonometric.. - Sugiyama, Ogawa (2001) (Correct)
System load high. Please wait...
Timeout. Please try your query later.
Similar documents based on text: More All
0.7: Simultaneous Optimization of Sample Points and Models - Sugiyama, al. (2000) (Correct)
0.6: Bias Estimation and Model Selection - Sugiyama, al. (2000) (Correct)
0.5: Model Selection with Small Samples - Masashi Sugiyama Hidemitsu (2001) (Correct)
BibTeX entry: (Update)
@misc{ sugiyama-incremental,
author = "M. Sugiyama and et al.",
title = "Incremental Active Learning in. . .",
url = "citeseer.ist.psu.edu/277993.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
301 Neural networks and the bias/variance dilemma (context) - Geman, Bienenstock et al. - 1992 ACM
258 Cross-validatory choice and assessment of statistical predic.. (context) - Stone - 1974
149 Theory of reproducing kernels (context) - Aronszajn - 1950
132 Theory of optimal experiments (context) - Fedorov - 1972
111 Active learning with statistical models - Cohn, Ghahramani et al. - 1996 ACM DBLP
105 Information-based objective functions for active data select.. - MacKay - 1992 ACM
77 Neural network exploration using optimal experiment design - Cohn - 1996 ACM DBLP
77 Neural network exploration using optimal experiment design - Cohn - 1994 ACM DBLP
24 Active learning in multilayer perceptrons - Fukumizu - 1996 DBLP
16 Projection filter regularization of ill-conditioned problem (context) - Ogawa - 1987
12 Incremental active learning for optimal generalization - Sugiyama, Ogawa DBLP
11 Neural network learning (context) - Ogawa - 1992
9 Modern mathematical statistics (context) - Takemura - 1991 ACM
8 Optimum image restoration and topological invariance (context) - Yamashita, Ogawa - 1992
8 Improving generalization ability through active learning - Vijayakumar, Ogawa - 1999
5 Training data selection for optimal generalization with nois.. - Vijayakumar, Sugiyama et al. - 1998
5 Incremental projection learning for optimal generalization - Sugiyama, Ogawa ACM
5 Query construction (context) - Sollich - 1994
5 Training data selection for optimal generalization in trigon.. - Sugiyama, Ogawa DBLP
4 Properties of incremental projection learning - Sugiyama, Ogawa ACM
3 A special issue on reinforcement learning (context) - Kaelbling - 1996
3 Exact incremental projection learning in the presence of noi.. (context) - Sugiyama, Ogawa
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)
Functional Analytic Approach to Model Selection - Subspace.. - Sugiyama, Ogawa (1999) (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