Noam Slonim, Gill Bejerano, Shai Fine, Naftali Tishby  Home/Search
Context Related
| cs.huji.ac.il/~jill/Pape...icml02.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: cs.huji.ac.il/labs/learnin...shai (more) Homepages: S.Fine |
Rate this article:      (best)Comment on this article |
Abstract: We propose a novel feature selection method based on a Variable Memory Markov model (VMM). The VMM was originally proposed as a generative model trying to preserve the original source statistics from training data. (Update)
Cited by: More
Conditional Feature Sensitivity: A Unifying View on.. - Zhou, Comaniciu.. (Correct)
Similar documents (at the sentence level):
7.2%: Discriminative Variable Memory Markov Model for Feature Selection - Slonim, Fine (2001) (Correct)
Active bibliography (related documents): More All
2.0: Discriminative Feature Selection via Multiclass Variable.. - Slonim, Bejerano (2002) (Correct)
0.3: On Unsupervised Learning of Mixtures of Markov Sources - Seldin (Correct)
0.3: Unsupervised Segmentation and Classification of Mixtures .. - Seldin, Bejerano, Tishby (2001) (Correct)
Similar documents based on text: More All
0.9: Unsupervised Sequence Segmentation by a Mixture of.. - Seldin, Bejerano, Tishby (2001) (Correct)
0.5: Markovian Domain Fingerprinting: Statistical.. - Bejerano, Seldin.. (2001) (Correct)
0.4: Part-of-Speech Tagging Using a Variable Memory Markov Model - Schütze, Singer (Correct)
BibTeX entry: (Update)
N. Slonim, G. Bejerano, S. Fine, and N. Tishby, "Discriminative feature selection via multiclass variable memory Markov model," in Proc. ICML, 2002. http://citeseer.ist.psu.edu/article/slonim02discriminative.html More
@misc{ slonim02discriminative,
author = "N. Slonim and G. Bejerano and S. Fine and N. Tishby",
title = "Discriminative feature selection via multiclass variable memory Markov
model",
text = "N. Slonim, G. Bejerano, S. Fine, and N. Tishby, Discriminative feature
selection via multiclass variable memory Markov model, in Proc. ICML, 2002.",
year = "2002",
url = "citeseer.ist.psu.edu/article/slonim02discriminative.html" }
Citations (may not include all citations):2319 Elements of Information Theory (context) - Cover, Thomas - 1991
203 What Size Net Gives Valid Generalization (context) - Baum, Haussler - 1989
127 An Empirical Study of Smoothing Techniques for Language Mode.. - Chen, Goodman - 1998
125 Learning with many irrelevant features - Almuallim, Dietterich - 1991
120 Inductive learning algorithms and representations for text c.. (context) - Dumais, Platt et al. - 1998
76 Reinforcement Learning with Selective Perception and Hidden .. (context) - McCallum - 1996
58 Maximum Mutual Information Estimation of Hidden Markov Model.. (context) - Bahl, Brown et al. - 1986
52 Using Mutual Information for Selecting Features in Supervise.. (context) - Battiti - 1994
43 The Power of Amnesia: Learning Probabilistic Automata with V.. - Ron, Singer et al. - 1997
17 Large Scale Discriminative Training for Speech Recognition - Woodland, Povey - 2000
14 Beyond Word N grams - Pereira, Singer et al.
10 Decision Tree Design from Communication Theory Stand Point (context) - Goodman, Smyth - 1988
9 on Pattern Analysis and Machine Intelligence (context) - Pietra, Pietra et al. - 1997
8 Variations on probabilistic sux trees: statistical modeling .. (context) - Bejerano, Yona - 2001
6 Entropy-based Pruning of Backo Language Models (context) - Stolcke - 1998
4 Markovian domain ngerprinting: statistical segmentation of p.. (context) - Bejerano, Seldin et al. - 2001
4 Learning to lter netnews (context) - Lang - 1995
3 PRINTS and PRINTS-S shed light on protein ancestry (context) - Attwood - 2002
2 ACM SIGIR (context) - Yang, on et al. - 2001
Documents on the same site (http://www.cs.huji.ac.il/labs/learning/People/shai.html): More
Noise Tolerant Learning Using Early Predictors - Fine, Gilad-Bachrach, Shamir, .. (1999) (Correct)
Noise Tolerant Learnability via the Dual Learning Problem - Fine, Gilad-Bachrach.. (Correct)
Agnostic Classification of Markovian Sequences - El-Yaniv, Fine, Tishby (1998) (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