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    JCP
    2006
    118views more  JCP 2006»
    Learning a Classification-based Glioma Growth Model Using MRI Data
    13 years 8 months ago
    Learning a Classification-based Glioma Growth Model Using MRI Data
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    Gliomas are malignant brain tumors that grow by invading adjacent tissue. We propose and evaluate a 3D classification-based growth model, CDM, that predicts how a glioma will grow ...
    Marianne Morris, Russell Greiner, Jörg Sander...
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    CASES
    2006
    ACM
    227views System Software» more  CASES 2006»
    Automatic performance model construction for the fast software exploration of new hardware designs
    14 years 2 months ago
    Automatic performance model construction for the fast software exploration of new hardware designs
    Download  homepages.inf.ed.ac.uk
    Developing an optimizing compiler for a newly proposed architecture is extremely difficult when there is only a simulator of the machine available. Designing such a compiler requ...
    John Cavazos, Christophe Dubach, Felix V. Agakov, ...
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    JMLR
    2010
    107views more  JMLR 2010»
    Learning Instance-Specific Predictive Models
    13 years 3 months ago
    Learning Instance-Specific Predictive Models
    Download  jmlr.csail.mit.edu
    This paper introduces a Bayesian algorithm for constructing predictive models from data that are optimized to predict a target variable well for a particular instance. This algori...
    Shyam Visweswaran, Gregory F. Cooper
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    CIDU
    2010
    137views Machine Learning» more  CIDU 2010»
    Tracking Climate Models
    13 years 6 months ago
    Tracking Climate Models
    Download  www1.ccls.columbia.edu
    Abstract. Climate models are complex mathematical models designed by meteorologists, geophysicists, and climate scientists to simulate and predict climate. Given temperature predic...
    Claire Monteleoni, Gavin Schmidt, Shailesh Saroha
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    FSS
    2007
    117views more  FSS 2007»
    Multiple regression with fuzzy data
    13 years 8 months ago
    Multiple regression with fuzzy data
    Download  www.nottingham.edu.my
    In this paper, we propose an iterative algorithm for multiple regression with fuzzy variables.While using the standard least-squares criterion as a performance index, we pose the ...
    Andrzej Bargiela, Witold Pedrycz, Tomoharu Nakashi...
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