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    IJCAI
    1989
    119views Artificial Intelligence» more  IJCAI 1989»
    A Critique of the Valiant Model
    13 years 9 months ago
    A Critique of the Valiant Model
    Download  dli.iiit.ac.in
    This paper considers the Valiant framework as it is applied to the task of learning logical concepts from random examples. It is argued that the current interpretation of this Val...
    Wray L. Buntine
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    ICML
    2005
    IEEE
    123views Machine Learning» more  ICML 2005»
    A model for handling approximate, noisy or incomplete labeling in text classification
    14 years 9 months ago
    A model for handling approximate, noisy or incomplete labeling in text classification
    Download  www.cse.iitb.ac.in
    We introduce a Bayesian model, BayesANIL, that is capable of estimating uncertainties associated with the labeling process. Given a labeled or partially labeled training corpus of...
    Ganesh Ramakrishnan, Krishna Prasad Chitrapura, Ra...
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    BMCBI
    2006
    159views more  BMCBI 2006»
    Prediction of protein continuum secondary structure with probabilistic models based on NMR solved structures
    13 years 8 months ago
    Prediction of protein continuum secondary structure with probabilistic models based on NMR solved structures
    Download  www.biomedcentral.com
    Background: The structure of proteins may change as a result of the inherent flexibility of some protein regions. We develop and explore probabilistic machine learning methods for...
    Mikael Bodén, Zheng Yuan, Timothy L. Bailey
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    KDD
    2005
    ACM
    163views Data Mining» more  KDD 2005»
    Data Sparsity Issues in the Collaborative Filtering Framework
    14 years 9 months ago
    Data Sparsity Issues in the Collaborative Filtering Framework
    Download  ropot.ijs.si
    Abstract. With the amount of available information on the Web growing rapidly with each day, the need to automatically filter the information in order to ensure greater user effici...
    Miha Grcar, Dunja Mladenic, Blaz Fortuna, Marko Gr...
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    BMCBI
    2010
    224views more  BMCBI 2010»
    An adaptive optimal ensemble classifier via bagging and rank aggregation with applications to high dimensional data
    13 years 8 months ago
    An adaptive optimal ensemble classifier via bagging and rank aggregation with applications to high dimensional data
    Download  www.biomedcentral.com
    Background: Generally speaking, different classifiers tend to work well for certain types of data and conversely, it is usually not known a priori which algorithm will be optimal ...
    Susmita Datta, Vasyl Pihur, Somnath Datta
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