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de kedarb library [21 articles]

Articles dernièrement stockés dans la bibliothèque de kedarb .
  • Margin Based Active Learning
    (2007)
    by Nina Balcan, Andrei Broder, Tong Zhang
    posted to no-tag by kedarb on 2008-07-24 19:15:17 as **
  • Performance thresholding in practical text classification
    (2006), pp. 662-671.
    by Hinrich Schütze, Emre Velipasaoglu, Jan O Pedersen
    posted to no-tag by kedarb on 2008-07-24 19:14:06 as ** along with 2 people sdvillal Mohan-S
  • Lifted First-Order Belief Propagation
    (2008)
    by Parag Singla, Pedro Domingos
    posted to no-tag by kedarb on 2008-07-24 19:13:12 as ** along with 1 person markusd
  • Two-view Feature Generation Model for Semi-supervised Learning
    (2007)
    by Rie K Ando, Tong Zhang
    posted to no-tag by kedarb on 2008-07-24 19:10:56 as ****
  • Pool-Based Active Learning for Text Classication
    (1998)
    by Kamal Nigam, Andrew Mccallum
    posted to active learning text-categorization by kedarb on 2008-07-17 02:30:47 as read
  • Learning Classifiers from Only Positive and Unlabeled Data
    (2008)
    by Charles Elkan, Keith Noto
    posted to learning positive-only semi-supervised by kedarb on 2008-07-17 01:10:46 as **** along with 1 person markusd
  • Maximum Margin Clustering Made Practical
    (2007)
    by Kai Zhan, Ivor W Tsang, James T Kwok
    posted to clustering discriminative large-margin by kedarb on 2008-07-02 02:45:22 as **
  • Bayesian Probabilistic Matrix Factorization using Markov Chain Monte Carlo.
    (2008)
    by Salakhyuditnov, Mnih
    posted to bayesian factorization matrix mcmc by kedarb on 2008-06-21 05:03:53 as ** along with 1 person markusd
  • Accurate Max-margin Training for Structured Output Spaces.
    (2008)
    by Sunita Sarawagi, Rahul Gupta
    edited by Sam Roweis, Andrew Mccallum
    posted to large-margin mira by kedarb on 2008-06-18 08:55:49 as ** along with 1 person markusd
  • Confidence-Weighted Linear Classification
    (2008)
    by Mark Dredze, Koby Crammer, Fernando Pereira
    edited by Sam Roweis, Andrew Mccallum
    posted to large-margin learning mira online by kedarb on 2008-06-18 07:20:46 as **
  • Semi-Supervised Convex Training for Dependency Parsing
    (June 2008), pp. 532-540.
    by Qin I Wang, Dale Schuurmans, Dekang Lin
    posted to dependency large-margin learning parsing semi-supervised by kedarb on 2008-06-16 12:36:01 as read
  • Discriminative Methods for Transliteration
    by Dmitry Zelenko, Chinatsu Aone
    posted to alignment discriminative distance edit global local mt perceptron transliteration by kedarb on 2007-09-10 17:07:58 as ** along with 2 people snifty markusd
  • A Dynamic Bayesian Framework to Model Context and Memory in Edit Distance Learning: An Application to Pronunciation Classification
    (2005)
    by Karim Filali, Jeff Bilmes
    posted to alignment dbn distance edit learning sequence by kedarb on 2007-08-24 03:19:41 as ** along with 1 person markusd
  • Exponentiated Gradient versus Gradient Descent for Linear Predictors
    information and computation, Vol. 132 (1997), pp. 1-63.
    by Jyrki Kivinen, Manfred K Warmuth
    posted to descent gradient learning by kedarb on 2007-08-24 00:09:42 as **
  • The Statistical Significance of MUC-4 Results
    by Nancy Chinchor
    posted to hypothesis significance statistical testing by kedarb on 2007-08-24 00:05:36 as **
  • Analysis of Two Gradient-Based Algorithms for On-Line Regression
    Journal of Computer and System Sciences, Vol. 59 (1999), pp. 392-411.
    by Nicolo Cesa-Bianchi
    posted to learning logistic maxent regression by kedarb on 2007-08-17 21:35:49 as *****
  • Re-Ranking Algorithms for Name Tagging
    (2006), pp. 49-56.
    by Heng Ji, Cynthia Rudin, Ralph Grishman
    posted to learning maxent ranking by kedarb on 2007-08-16 22:40:34 as **
  • Online Large-Margin Training for Statistical Machine Translation
    by Taro Watanabe, Jun Suzuki, Hajime Tsukada, Hideki Isozaki
    posted to discriminative large-margin mt by kedarb on 2007-08-09 19:37:54 as ****
  • Scalable Large-Margin Online Learning for Structured Classification
    by Koby Crammer, Ryan Mcdonald, Fernando Pereira
    posted to comparison handwriting-recognition mira named-entity seminal by kedarb on 2007-08-09 19:32:09 as **
  • Learning to Rank using Gradient Descent
    by Chris Burges, Tal Shaked, Erin Renshaw, Ari Lazier, Matt Deeds, Nicole Hamilton, Greg Hullender
    posted to descent gradient learning ranking by kedarb on 2007-08-09 00:10:22 as ****
  • Mining Data Records in Web Pages
    by Bing Liu, Robert Grossman, Yanhong Zhai
    posted to extraction mining object web by kedarb on 2007-08-08 23:50:12 as **
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