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    NIPS
    2007
    109views Information Technology» more  NIPS 2007»
    Learning and using relational theories
    14 years 2 months ago
    Learning and using relational theories
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    Much of human knowledge is organized into sophisticated systems that are often called intuitive theories. We propose that intuitive theories are mentally represented in a logical ...
    Charles Kemp, Noah Goodman, Joshua B. Tenenbaum
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    NIPS
    2007
    80views Information Technology» more  NIPS 2007»
    Stable Dual Dynamic Programming
    14 years 2 months ago
    Stable Dual Dynamic Programming
    Download  webdocs.cs.ualberta.ca
    Recently, we have introduced a novel approach to dynamic programming and reinforcement learning that is based on maintaining explicit representations of stationary distributions i...
    Tao Wang, Daniel J. Lizotte, Michael H. Bowling, D...
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    NIPS
    2007
    152views Information Technology» more  NIPS 2007»
    Modeling homophily and stochastic equivalence in symmetric relational data
    14 years 2 months ago
    Modeling homophily and stochastic equivalence in symmetric relational data
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    This article discusses a latent variable model for inference and prediction of symmetric relational data. The model, based on the idea of the eigenvalue decomposition, represents ...
    Peter Hoff
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    NIPS
    2007
    267views Information Technology» more  NIPS 2007»
    People Tracking with the Laplacian Eigenmaps Latent Variable Model
    14 years 2 months ago
    People Tracking with the Laplacian Eigenmaps Latent Variable Model
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    Reliably recovering 3D human pose from monocular video requires models that bias the estimates towards typical human poses and motions. We construct priors for people tracking usi...
    Zhengdong Lu, Miguel Á. Carreira-Perpi&ntil...
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    NIPS
    2007
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    Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation
    14 years 2 months ago
    Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation
    Download  books.nips.cc
    A situation where training and test samples follow different input distributions is called covariate shift. Under covariate shift, standard learning methods such as maximum likeli...
    Masashi Sugiyama, Shinichi Nakajima, Hisashi Kashi...
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    NIPS
    2007
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    Compressed Regression
    14 years 2 months ago
    Compressed Regression
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    Recent research has studied the role of sparsity in high dimensional regression and signal reconstruction, establishing theoretical limits for recovering sparse models from sparse...
    Shuheng Zhou, John D. Lafferty, Larry A. Wasserman
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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
    14 years 2 months ago
    Congruence between model and human attention reveals unique signatures of critical visual events
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    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
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    Experience-Guided Search: A Theory of Attentional Control
    14 years 2 months ago
    Experience-Guided Search: A Theory of Attentional Control
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    Michael Mozer, David Baldwin
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    NIPS
    2007
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    The Generalized FITC Approximation
    14 years 2 months ago
    The Generalized FITC Approximation
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    We present an efficient generalization of the sparse pseudo-input Gaussian process (SPGP) model developed by Snelson and Ghahramani [1], applying it to binary classification pro...
    Andrew Naish-Guzman, Sean B. Holden
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    NIPS
    2007
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    Modeling image patches with a directed hierarchy of Markov random fields
    14 years 2 months ago
    Modeling image patches with a directed hierarchy of Markov random fields
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    Simon Osindero, Geoffrey E. Hinton
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