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    SAINT
    2005
    IEEE
    176views Internet Technology» more  SAINT 2005»
    Inductive Logic Programming for Structure-Activity Relationship Studies on Large Scale Data
    14 years 2 months ago
    Inductive Logic Programming for Structure-Activity Relationship Studies on Large Scale Data
    Download  www.ai.sanken.osaka-u.ac.jp
    Inductive Logic Programming (ILP) is a combination of inductive learning and first-order logic aiming to learn first-order hypotheses from training examples. ILP has a serious b...
    Cholwich Nattee, Sukree Sinthupinyo, Masayuki Numa...
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    ICML
    1996
    IEEE
    119views Machine Learning» more  ICML 1996»
    Searching for Structure in Multiple Streams of Data
    14 years 9 months ago
    Searching for Structure in Multiple Streams of Data
    Download  www.cs.arizona.edu
    Finding structure in multiple streams of data is an important problem. Consider the streams of data owing from a robot's sensors, the monitors in an intensive care unit, or p...
    Tim Oates, Paul R. Cohen
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    ICIP
    2008
    IEEE
    200views Image Processing» more  ICIP 2008»
    Learning structurally discriminant features in 3D faces
    14 years 10 months ago
    Learning structurally discriminant features in 3D faces
    Download  imaging.utk.edu
    In this paper, we derive a data mining framework to analyze 3D features on human faces. The framework leverages kernel density estimators, genetic algorithm and an information com...
    Sreenivas R. Sukumar, Hamparsum Bozdogan, David L....
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    CLA
    2007
    218views Artificial Intelligence» more  CLA 2007»
    Concept Analysis on Structured, Multi-valued and Incomplete Data
    13 years 10 months ago
    Concept Analysis on Structured, Multi-valued and Incomplete Data
    Download  sunsite.informatik.rwth-aachen.de
    This paper presents an approach to Concept Analysis of structured, multivalued and incomplete data currently present in life science knowledge bases. We are concerned with tree str...
    David Grosser, Henri Ralambondrainy
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    IFIP12
    2008
    146views Information Technology» more  IFIP12 2008»
    Bayesian Networks Optimization Based on Induction Learning Techniques
    13 years 10 months ago
    Bayesian Networks Optimization Based on Induction Learning Techniques
    Download  www.itba.edu.ar
    Obtaining a bayesian network from data is a learning process that is divided in two steps: structural learning and parametric learning. In this paper, we define an automatic learni...
    Paola Britos, Pablo Felgaer, Ramón Garc&iac...
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