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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 1 months ago
    Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation
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    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
    117views Information Technology» more  NIPS 2007»
    Compressed Regression
    14 years 1 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
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    Congruence between model and human attention reveals unique signatures of critical visual events
    14 years 1 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 1 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 1 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 1 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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    NIPS
    2007
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    Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing
    14 years 1 months ago
    Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing
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    Brain-Computer Interfaces can suffer from a large variance of the subject conditions within and across sessions. For example vigilance fluctuations in the individual, variable ta...
    Benjamin Blankertz, Motoaki Kawanabe, Ryota Tomiok...
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    NIPS
    2007
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    A Probabilistic Approach to Language Change
    14 years 1 months ago
    A Probabilistic Approach to Language Change
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    We present a probabilistic approach to language change in which word forms are represented by phoneme sequences that undergo stochastic edits along the branches of a phylogenetic ...
    Alexandre Bouchard-Côté, Percy Liang,...
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    NIPS
    2007
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    Unsupervised Feature Selection for Accurate Recommendation of High-Dimensional Image Data
    14 years 1 months ago
    Unsupervised Feature Selection for Accurate Recommendation of High-Dimensional Image Data
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    Content-based image suggestion (CBIS) targets the recommendation of products based on user preferences on the visual content of images. In this paper, we motivate both feature sel...
    Sabri Boutemedjet, Djemel Ziou, Nizar Bouguila
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    NIPS
    2007
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    Inferring Neural Firing Rates from Spike Trains Using Gaussian Processes
    14 years 1 months ago
    Inferring Neural Firing Rates from Spike Trains Using Gaussian Processes
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    Neural spike trains present challenges to analytical efforts due to their noisy, spiking nature. Many studies of neuroscientific and neural prosthetic importance rely on a smooth...
    John P. Cunningham, Byron M. Yu, Krishna V. Shenoy...
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