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    BMCBI
    2008
    101views more  BMCBI 2008»
    Reranking candidate gene models with cross-species comparison for improved gene prediction
    14 years 9 months ago
    Reranking candidate gene models with cross-species comparison for improved gene prediction
    Download  www.biomedcentral.com
    Background: Most gene finders score candidate gene models with state-based methods, typically HMMs, by combining local properties (coding potential, splice donor and acceptor patt...
    Qian Liu, Koby Crammer, Fernando C. N. Pereira, Da...
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    EDM
    2010
    160views Data Mining» more  EDM 2010»
    Using Neural Imaging and Cognitive Modeling to Infer Mental States while Using an Intelligent Tutoring System
    14 years 11 months ago
    Using Neural Imaging and Cognitive Modeling to Infer Mental States while Using an Intelligent Tutoring System
    Download  educationaldatamining.org
    Functional magnetic resonance imaging (fMRI) data were collected while students worked with a tutoring system that taught an algebra isomorph. A cognitive model predicted the distr...
    Jon M. Fincham, John R. Anderson, Shawn Betts, Jen...
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    AIPS
    2006
    141views Artificial Intelligence» more  AIPS 2006»
    Combining Stochastic Task Models with Reinforcement Learning for Dynamic Scheduling
    14 years 11 months ago
    Combining Stochastic Task Models with Reinforcement Learning for Dynamic Scheduling
    Download  www.aaai.org
    We view dynamic scheduling as a sequential decision problem. Firstly, we introduce a generalized planning operator, the stochastic task model (STM), which predicts the effects of ...
    Malcolm J. A. Strens
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    ESANN
    2000
    174views Neural Networks» more  ESANN 2000»
    Parametric approach to blind deconvolution of nonlinear channels
    14 years 11 months ago
    Parametric approach to blind deconvolution of nonlinear channels
    Download  www.dice.ucl.ac.be
    A parametric procedure for the blind inversion of nonlinear channels is proposed, based on a recent method of blind source separation in nonlinear mixtures. Experiments show that ...
    Jordi Solé i Casals, Anisse Taleb, Christia...
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    NIPS
    2007
    171views Information Technology» more  NIPS 2007»
    Locality and low-dimensions in the prediction of natural experience from fMRI
    14 years 11 months ago
    Locality and low-dimensions in the prediction of natural experience from fMRI
    Download  books.nips.cc
    Functional Magnetic Resonance Imaging (fMRI) provides dynamical access into the complex functioning of the human brain, detailing the hemodynamic activity of thousands of voxels d...
    Francois Meyer, Greg Stephens
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