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    NIPS
    1990
    266views Information Technology» more  NIPS 1990»
    Bumptrees for Efficient Function, Constraint and Classification Learning
    13 years 10 months ago
    Bumptrees for Efficient Function, Constraint and Classification Learning
    Download  www.icsi.berkeley.edu
    A new class of data structures called "bumptrees" is described. These structures are useful for efficiently implementing a number of neural network related operations. A...
    Stephen M. Omohundro
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    NIPS
    1996
    101views Information Technology» more  NIPS 1996»
    A Model of Recurrent Interactions in Primary Visual Cortex
    13 years 11 months ago
    A Model of Recurrent Interactions in Primary Visual Cortex
    Download  www.cs.washington.edu
    A general feature of the cerebral cortex is its massive interconnectivity-ithas been estimatedanatomically 15 that cortical neurons receive on the order of 10,000 synapses, the ma...
    Emanuel Todorov, Athanassios Siapas, David Somers
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    NIPS
    2007
    171views Information Technology» more  NIPS 2007»
    Locality and low-dimensions in the prediction of natural experience from fMRI
    13 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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    NIPS
    2007
    262views Information Technology» more  NIPS 2007»
    Congruence between model and human attention reveals unique signatures of critical visual events
    13 years 11 months ago
    Congruence between model and human attention reveals unique signatures of critical visual events
    Download  books.nips.cc
    Current computational models of bottom-up and top-down components of attention are predictive of eye movements across a range of stimuli and of simple, fixed visual tasks (such a...
    Robert J. Peters, Laurent Itti
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    NIPS
    2007
    145views Information Technology» more  NIPS 2007»
    Evaluating Search Engines by Modeling the Relationship Between Relevance and Clicks
    13 years 11 months ago
    Evaluating Search Engines by Modeling the Relationship Between Relevance and Clicks
    Download  ciir.cs.umass.edu
    We propose a model that leverages the millions of clicks received by web search engines to predict document relevance. This allows the comparison of ranking functions when clicks ...
    Ben Carterette, Rosie Jones
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