with Online and Active Learning Antoine Bordes ANTOINE. 4...  Home/Search
Context
Related
| psu.edu/~sertekin/resea...jmlr2005.pdf 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: psu.edu/~sertekin/research (more) (Enter author homepages) |
Rate this article:      (best)Comment on this article |
Abstract: Very high dimensional learning systems become theoretically possible when training examples are abundant. The computing cost then becomes the limiting factor. Any efficient learning algorithm should at least take a brief look at each example. But should all examples be given equal attention? This contribution proposes an empirical answer. We first present an online SVM algorithm based on this premise. LASVM yields competitive misclassification rates after a single pass over the training... (Update)
Active bibliography (related documents): More All
1.2: Online (and Offline) on an Even Tighter Budget - Jason Weston America (Correct)
0.6: Journal of Machine Learning Research 7 (2006) 1467--1492 .. - On Multiprocessor.. (Correct)
0.2: Provably Fast Training Algorithms for Support Vector.. - Balcazar, Dai, Tanaka.. (Correct)
Similar documents based on text:
0.0: Unknown - (Correct)
BibTeX entry: (Update)
@misc{ and-journal,
author = "With Online And",
title = "Journal of Machine Learning Research 6 (2005) 1579--1619 Submitted 3/05;
Published 9/05 Fast Kernel Classifiers",
url = "citeseer.ist.psu.edu/748816.html" }
Citations (may not include all citations):947 Statistical Learning Theory (context) - Vapnik - 1998
717 Theory of Linear and Integer Programming (context) - Schrijver - 1986
348 Estimation of Dependences Based on Empirical Data (context) - Vapnik - 1982
268 Making large--scale SVM learning practical - Joachims - 2002
143 An Introduction to Support Vector Machines and other kernelb.. (context) - Cristianini, Shawe-Taylor - 2000
103 Theoretical foundations of the potential function method in .. (context) - Aizerman, Braverman et al. - 1964
80 LIBSVM : a library for support vector machines - Chang, Lin
47 Learning machines: Foundations of Trainable Pattern Classify.. (context) - Nilsson - 1965
43 Transactions of the American Mathematical Society (context) - Aronszajn, reproducing - 1950
39 Training connectionist networks with queries and selective s.. (context) - Cohn, Atlas et al. - 2001
34 Learning with Kernels (context) - olkopf, Smola - 2002
32 Incremental and decremental support vector machine learning - Cauwenberghs, Poggio - 2001
29 Less is more: Active learning with support vector machines - Schohn, Cohn - 2000
24 Query learning with large margin classifiers - Campbell, Cristianini et al. - 2000
22 On convergence proofs on perceptrons (context) - Novikoff - 1962
21 Relating data compression and learnability - Littlestone, Warmuth - 1986
19 the sample complexity of PAC learning using random and chose.. - Eisenberg, Rivest - 1972
17 The relaxed online maximum margin algorithm - Li, Long - 2002
15 Automatic capacity tuning of very large VC-dimension classif.. - Guyon, Boser et al. - 1993
15 Pattern recognition using generalized portrait method (context) - Vapnik, Lerner - 1963
15 Methods of Feasible Directions (context) - Zoutendijk - 1960
14 the convergence of the decomposition method for support vect.. - Lin - 2001
11 Ultraconservative online algorithms for multiclass problems - Crammer, Singer - 2003
11 A parallel mixture of SVMs for very large scale problems - Collobert, Bengio et al. - 1995
5 MadaBoost: a modification of AdaBoost - Domingo, Watanabe - 2000
2 Parallel support vector machines: The Cascade SVM (context) - Graf, Cosatto et al. - 2005
2 Breaking SVM complexity with cross-training (context) - Bakr, Bottou et al. - 2005
2 Online classification on a budget - Crammer, Kandola et al. - 2004
1 Worst-case analysis of selective sampling for linearthreshol.. (context) - Cesa-Bianchi, Gentile et al. - 2005
1 The Huller: a simple and efficient online SVM (context) - Bordes, Bottou - 2005
1 Statistical analysis of learning dynamics - Murata, Amari - 1999
1 an even tighter budget (context) - Weston, Bordes et al. - 2005
1 Sparseness of support vector machines---some asymptotically .. (context) - Steinwart - 2004
1 Algorihms and Programs for Dependency Estimation (context) - Vapnik, Glaskova et al. - 2003
1 On termination of the SMO algorithm for support vector machi.. (context) - Takahashi, Nishi - 2003
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