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    AAAI
    2000
    116views Intelligent Agents» more  AAAI 2000»
    Learning the Common Structure of Data
    15 years 5 months ago
    Learning the Common Structure of Data
    Download  blondie.cs.byu.edu
    The proliferation of online information sources has accentuated the need for tools that automatically validate and recognize data. We present an efficient algorithm that learns st...
    Kristina Lerman, Steven Minton
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    133
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    IIE
    2008
    98views more  IIE 2008»
    Data Mining Application in Higher Learning Institutions
    15 years 3 months ago
    Data Mining Application in Higher Learning Institutions
    Download  www.mii.lt
    One of the biggest challenges that higher learning institutions face today is to improve the quality of managerial decisions. The managerial decision making process becomes more co...
    Naeimeh Delavari, Somnuk Phon-Amnuaisuk, M. Reza B...
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    117
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    KDD
    1994
    ACM
    123views Data Mining» more  KDD 1994»
    Learning Bayesian Networks: The Combination of Knowledge and Statistical Data
    15 years 7 months ago
    Learning Bayesian Networks: The Combination of Knowledge and Statistical Data
    Download  research.microsoft.com
    We describe scoring metrics for learning Bayesian networks from a combination of user knowledge and statistical data. We identify two important properties of metrics, which we cal...
    David Heckerman, Dan Geiger, David Maxwell Chicker...
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    149
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    ISBI
    2011
    IEEE
    283views Medical Imaging» more  ISBI 2011»
    Automatic pancreas segmentation in contrast enhanced CT data using learned spatial anatomy and texture descriptors
    14 years 7 months ago
    Automatic pancreas segmentation in contrast enhanced CT data using learned spatial anatomy and texture descriptors
    Download  www.gris.informatik.tu-darmstadt.de
    Pancreas segmentation in 3-D computed tomography (CT) data is of high clinical relevance, but extremely difficult since the pancreas is often not visibly distinguishable from the...
    Marius Erdt, Matthias Kirschner, Klaus Drechsler, ...
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    103
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    NIPS
    1998
    132views Information Technology» more  NIPS 1998»
    Learning a Continuous Hidden Variable Model for Binary Data
    15 years 5 months ago
    Learning a Continuous Hidden Variable Model for Binary Data
    Download  web.mit.edu
    A directed generative model for binary data using a small number of hidden continuous units is investigated. A clipping nonlinearity distinguishes the model from conventional prin...
    Daniel D. Lee, Haim Sompolinsky
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