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    IJDAR
    2007
    82views more  IJDAR 2007»
    Finding structure in noisy text: topic classification and unsupervised clustering
    15 years 18 days ago
    Finding structure in noisy text: topic classification and unsupervised clustering
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    Premkumar Natarajan, Rohit Prasad, Krishna Subrama...
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    CAL
    2007
    143views Software Engineering» more  CAL 2007»
    CIM: A Reliable Metric for Evaluating Program Phase Classifications
    15 years 15 days ago
    CIM: A Reliable Metric for Evaluating Program Phase Classifications
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    Sreekumar V. Kodakara, Jinpyo Kim, David J. Lilja,...
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    88
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    ML
    2007
    ACM
    99views Machine Learning» more  ML 2007»
    Classifying under computational resource constraints: anytime classification using probabilistic estimators
    15 years 6 days ago
    Classifying under computational resource constraints: anytime classification using probabilistic estimators
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    Ying Yang, Geoffrey I. Webb, Kevin B. Korb, Kai Mi...
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    56
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    NAR
    2007
    66views more  NAR 2007»
    A Protein Classification Benchmark collection for machine learning
    15 years 6 days ago
    A Protein Classification Benchmark collection for machine learning
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    Paolo Sonego, Mircea Pacurar, Somdutta Dhir, Attil...
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    98
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    CASCON
    2001
    148views Education» more  CASCON 2001»
    Email classification with co-training
    15 years 2 months ago
    Email classification with co-training
    Download  www.site.uottawa.ca
    The main problems in text classification are lack of labeled data, as well as the cost of labeling the unlabeled data. We address these problems by exploring co-training - an algo...
    Svetlana Kiritchenko, Stan Matwin
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