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    DAWAK
    2006
    Springer
    147views Information Technology» more  DAWAK 2006»
    Learning Classifiers from Distributed, Ontology-Extended Data Sources
    14 years 9 days ago
    Learning Classifiers from Distributed, Ontology-Extended Data Sources
    Download  www.cs.iastate.edu
    Abstract. There is an urgent need for sound approaches to integrative and collaborative analysis of large, autonomous (and hence, inevitably semantically heterogeneous) data source...
    Doina Caragea, Jun Zhang 0002, Jyotishman Pathak, ...
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    ACL
    2008
    127views Computational Linguistics» more  ACL 2008»
    Learning Effective Multimodal Dialogue Strategies from Wizard-of-Oz Data: Bootstrapping and Evaluation
    13 years 10 months ago
    Learning Effective Multimodal Dialogue Strategies from Wizard-of-Oz Data: Bootstrapping and Evaluation
    Download  www.aclweb.org
    We address two problems in the field of automatic optimization of dialogue strategies: learning effective dialogue strategies when no initial data or system exists, and evaluating...
    Verena Rieser, Oliver Lemon
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    SDM
    2007
    SIAM
    198views Data Mining» more  SDM 2007»
    Learning from Time-Changing Data with Adaptive Windowing
    13 years 10 months ago
    Learning from Time-Changing Data with Adaptive Windowing
    Download  siam.org
    We present a new approach for dealing with distribution change and concept drift when learning from data sequences that may vary with time. We use sliding windows whose size, inst...
    Albert Bifet, Ricard Gavaldà
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    DEXAW
    2007
    IEEE
    138views Database» more  DEXAW 2007»
    Machine Learning for Question Answering from Tabular Data
    14 years 3 months ago
    Machine Learning for Question Answering from Tabular Data
    Download  staff.science.uva.nl
    Question Answering (QA) systems automatically answer natural language questions in a human-like manner. One of the practical approaches to open domain QA consists in extracting fa...
    Mahboob Alam Khalid, Valentin Jijkoun, Maarten de ...
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    KDD
    2004
    ACM
    237views Data Mining» more  KDD 2004»
    Bayesian Model-Averaging in Unsupervised Learning From Microarray Data
    14 years 9 months ago
    Bayesian Model-Averaging in Unsupervised Learning From Microarray Data
    Download  www.eh3.uc.edu
    Unsupervised identification of patterns in microarray data has been a productive approach to uncovering relationships between genes and the biological process in which they are in...
    Mario Medvedovic, Junhai Guo
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