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    JAIR
    2008
    135views more  JAIR 2008»
    On Similarities between Inference in Game Theory and Machine Learning
    13 years 7 months ago
    On Similarities between Inference in Game Theory and Machine Learning
    Download  www.maths.bris.ac.uk
    In this paper, we elucidate the equivalence between inference in game theory and machine learning. Our aim in so doing is to establish an equivalent vocabulary between the two dom...
    Iead Rezek, David S. Leslie, Steven Reece, Stephen...
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    JCST
    2008
    138views more  JCST 2008»
    Predicting Chinese Abbreviations from Definitions: An Empirical Learning Approach Using Support Vector Regression
    13 years 7 months ago
    Predicting Chinese Abbreviations from Definitions: An Empirical Learning Approach Using Support Vector Regression
    Download  www-tsujii.is.s.u-tokyo.ac.jp
    In Chinese, phrases and named entities play a central role in information retrieval. Abbreviations, however, make keyword-based approaches less effective. This paper presents an em...
    Xu Sun, Houfeng Wang, Bo Wang 0003
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    TNN
    2008
    97views more  TNN 2008»
    Training Hard-Margin Support Vector Machines Using Greedy Stagewise Algorithm
    13 years 7 months ago
    Training Hard-Margin Support Vector Machines Using Greedy Stagewise Algorithm
    Download  www.cs.washington.edu
    Hard-margin support vector machines (HM-SVMs) suffer from getting overfitting in the presence of noise. Soft-margin SVMs deal with this problem by introducing a regularization term...
    Liefeng Bo, Ling Wang, Licheng Jiao
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    ACL
    2009
    103views Computational Linguistics» more  ACL 2009»
    Phrase Clustering for Discriminative Learning
    13 years 5 months ago
    Phrase Clustering for Discriminative Learning
    Download  aclweb.org
    We present a simple and scalable algorithm for clustering tens of millions of phrases and use the resulting clusters as features in discriminative classifiers. To demonstrate the ...
    Dekang Lin, Xiaoyun Wu
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    EMNLP
    2007
    250views Natural Language Processing» more  EMNLP 2007»
    Semi-Supervised Structured Output Learning Based on a Hybrid Generative and Discriminative Approach
    13 years 9 months ago
    Semi-Supervised Structured Output Learning Based on a Hybrid Generative and Discriminative Approach
    Download  acl.ldc.upenn.edu
    This paper proposes a framework for semi-supervised structured output learning (SOL), specifically for sequence labeling, based on a hybrid generative and discriminative approach...
    Jun Suzuki, Akinori Fujino, Hideki Isozaki
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