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    IJON
    2006
    146views more  IJON 2006»
    Feature selection and classification using flexible neural tree
    13 years 9 months ago
    Feature selection and classification using flexible neural tree
    Download  www.softcomputing.net
    The purpose of this research is to develop effective machine learning or data mining techniques based on flexible neural tree FNT. Based on the pre-defined instruction/operator se...
    Yuehui Chen, Ajith Abraham, Bo Yang
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    IJWBC
    2006
    58views more  IJWBC 2006»
    UnaWare: supporting tacit design knowledge exchange
    13 years 9 months ago
    UnaWare: supporting tacit design knowledge exchange
    Download  www2.asro.kuleuven.ac.be
    : DYNAMO (Dynamic Architectural Memory Online) is an interactive platform to share ideas, knowledge and insights in the form of concrete building projects among designers in differ...
    Ann Heylighen, Mathias Casaer, Herman Neuckermans
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    JMLR
    2008
    209views more  JMLR 2008»
    Bayesian Inference and Optimal Design for the Sparse Linear Model
    13 years 9 months ago
    Bayesian Inference and Optimal Design for the Sparse Linear Model
    Download  www.kyb.tuebingen.mpg.de
    The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
    Matthias W. Seeger
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    ENTCS
    2007
    113views more  ENTCS 2007»
    The Interactive Curry Observation Debugger iCODE
    13 years 9 months ago
    The Interactive Curry Observation Debugger iCODE
    Download  www-ps.informatik.uni-kiel.de
    Debugging by observing the evaluation of expressions and functions is a useful approach for finding bugs in lazy functional and functional logic programs. However, adding and rem...
    Parissa H. Sadeghi, Frank Huch
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    NECO
    2008
    114views more  NECO 2008»
    A Sparse Generative Model of V1 Simple Cells with Intrinsic Plasticity
    13 years 9 months ago
    A Sparse Generative Model of V1 Simple Cells with Intrinsic Plasticity
    Download  fias.uni-frankfurt.de
    Current models for the learning of feature detectors work on two time scales: on a fast time scale the internal neurons' activations adapt to the current stimulus; on a slow ...
    Cornelius Weber, Jochen Triesch
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