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    NAACL
    2007
    139views Computational Linguistics» more  NAACL 2007»
    Automatic Assessment of Student Translations for Foreign Language Tutoring
    13 years 10 months ago
    Automatic Assessment of Student Translations for Foreign Language Tutoring
    Download  acl.ldc.upenn.edu
    This paper introduces the use of speech translation technology for a new type of voice-interactive Computer Aided Language Learning (CALL) application. We describe a computer game...
    Chao Wang, Stephanie Seneff
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    NIPS
    2007
    122views Information Technology» more  NIPS 2007»
    Second Order Bilinear Discriminant Analysis for single trial EEG analysis
    13 years 10 months ago
    Second Order Bilinear Discriminant Analysis for single trial EEG analysis
    Download  books.nips.cc
    Traditional analysis methods for single-trial classification of electroencephalography (EEG) focus on two types of paradigms: phase locked methods, in which the amplitude of the ...
    Christoforos Christoforou, Paul Sajda, Lucas C. Pa...
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    UAI
    2008
    261views Artificial Intelligence» more  UAI 2008»
    Cumulative distribution networks and the derivative-sum-product algorithm
    13 years 10 months ago
    Cumulative distribution networks and the derivative-sum-product algorithm
    Download  uai2008.cs.helsinki.fi
    We introduce a new type of graphical model called a `cumulative distribution network' (CDN), which expresses a joint cumulative distribution as a product of local functions. ...
    Jim C. Huang, Brendan J. Frey
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    ACL
    2006
    114views Computational Linguistics» more  ACL 2006»
    Exploring Distributional Similarity Based Models for Query Spelling Correction
    13 years 10 months ago
    Exploring Distributional Similarity Based Models for Query Spelling Correction
    Download  acl.ldc.upenn.edu
    A query speller is crucial to search engine in improving web search relevance. This paper describes novel methods for use of distributional similarity estimated from query logs in...
    Mu Li, Muhua Zhu, Yang Zhang, Ming Zhou
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    FLAIRS
    2006
    143views Artificial Intelligence» more  FLAIRS 2006»
    Using Validation Sets to Avoid Overfitting in AdaBoost
    13 years 10 months ago
    Using Validation Sets to Avoid Overfitting in AdaBoost
    Download  www.cs.utsa.edu
    AdaBoost is a well known, effective technique for increasing the accuracy of learning algorithms. However, it has the potential to overfit the training set because its objective i...
    Tom Bylander, Lisa Tate
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