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    KDD
    2004
    ACM
    237views Data Mining» more  KDD 2004»
    Bayesian Model-Averaging in Unsupervised Learning From Microarray Data
    14 years 7 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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    ICANN
    2003
    Springer
    92views Neural Networks» more  ICANN 2003»
    Learning Rule Representations from Boolean Data
    14 years 19 days ago
    Learning Rule Representations from Boolean Data
    Download  www.image.ntua.gr
    We discuss a Probably Approximate Correct (PAC) learning paradigm for Boolean formulas, which we call PAC meditation, where the class of formulas to be learnt is not known in advan...
    Bruno Apolloni, Andrea Brega, Dario Malchiodi, Gio...
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    NIPS
    1994
    124views Information Technology» more  NIPS 1994»
    From Data Distributions to Regularization in Invariant Learning
    13 years 8 months ago
    From Data Distributions to Regularization in Invariant Learning
    Download  www.bme.ogi.edu
    Ideally pattern recognition machines provide constant output when the inputs are transformed under a group G of desired invariances. These invariances can be achieved by enhancing...
    Todd K. Leen
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    AIME
    2007
    Springer
    122views Artificial Intelligence» more  AIME 2007»
    A Causal Modeling Framework for Generating Clinical Practice Guidelines from Data
    14 years 1 months ago
    A Causal Modeling Framework for Generating Clinical Practice Guidelines from Data
    Download  www.dsl-lab.org
    Abstract. The practice of medicine is becoming increasingly evidencebased and clinical practice guidelines (CPGs) are necessary for advancing evidence-based medicine (EBM). We hypo...
    Subramani Mani, Constantin F. Aliferis
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    JMLR
    2008
    104views more  JMLR 2008»
    Learning Reliable Classifiers From Small or Incomplete Data Sets: The Naive Credal Classifier 2
    13 years 7 months ago
    Learning Reliable Classifiers From Small or Incomplete Data Sets: The Naive Credal Classifier 2
    Download  www.idsia.ch
    In this paper, the naive credal classifier, which is a set-valued counterpart of naive Bayes, is extended to a general and flexible treatment of incomplete data, yielding a new cl...
    Giorgio Corani, Marco Zaffalon
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