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    NIPS
    2008
    151views Information Technology» more  NIPS 2008»
    An ideal observer model of infant object perception
    14 years 29 days ago
    An ideal observer model of infant object perception
    Download  www.psy.cmu.edu
    Before the age of 4 months, infants make inductive inferences about the motions of physical objects. Developmental psychologists have provided verbal accounts of the knowledge tha...
    Charles Kemp, Fei Xu
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    NIPS
    2008
    140views Information Technology» more  NIPS 2008»
    Counting Solution Clusters in Graph Coloring Problems Using Belief Propagation
    14 years 29 days ago
    Counting Solution Clusters in Graph Coloring Problems Using Belief Propagation
    Download  www.cs.cornell.edu
    We show that an important and computationally challenging solution space feature of the graph coloring problem (COL), namely the number of clusters of solutions, can be accurately...
    Lukas Kroc, Ashish Sabharwal, Bart Selman
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    NIPS
    2008
    161views Information Technology» more  NIPS 2008»
    Estimating vector fields using sparse basis field expansions
    14 years 29 days ago
    Estimating vector fields using sparse basis field expansions
    Download  user.cs.tu-berlin.de
    We introduce a novel framework for estimating vector fields using sparse basis field expansions (S-FLEX). The notion of basis fields, which are an extension of scalar basis functi...
    Stefan Haufe, Vadim V. Nikulin, Andreas Ziehe, Kla...
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    NIPS
    2008
    161views Information Technology» more  NIPS 2008»
    Deep Learning with Kernel Regularization for Visual Recognition
    14 years 29 days ago
    Deep Learning with Kernel Regularization for Visual Recognition
    Download  www.dbs.informatik.uni-muenchen.de
    In this paper we aim to train deep neural networks for rapid visual recognition. The task is highly challenging, largely due to the lack of a meaningful regularizer on the functio...
    Kai Yu, Wei Xu, Yihong Gong
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    NIPS
    2008
    157views Information Technology» more  NIPS 2008»
    The Infinite Factorial Hidden Markov Model
    14 years 29 days ago
    The Infinite Factorial Hidden Markov Model
    Download  eprints.pascal-network.org
    We introduce a new probability distribution over a potentially infinite number of binary Markov chains which we call the Markov Indian buffet process. This process extends the IBP...
    Jurgen Van Gael, Yee Whye Teh, Zoubin Ghahramani
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    NIPS
    2008
    162views Information Technology» more  NIPS 2008»
    Analyzing human feature learning as nonparametric Bayesian inference
    14 years 29 days ago
    Analyzing human feature learning as nonparametric Bayesian inference
    Download  cseweb.ucsd.edu
    Almost all successful machine learning algorithms and cognitive models require powerful representations capturing the features that are relevant to a particular problem. We draw o...
    Joseph Austerweil, Thomas L. Griffiths
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    NIPS
    2008
    118views Information Technology» more  NIPS 2008»
    Dependent Dirichlet Process Spike Sorting
    14 years 29 days ago
    Dependent Dirichlet Process Spike Sorting
    Download  www.stat.columbia.edu
    In this paper we propose a new incremental spike sorting model that automatically eliminates refractory period violations, accounts for action potential waveform drift, and can ha...
    Jan Gasthaus, Frank Wood, Dilan Görür, Y...
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    NIPS
    2008
    149views Information Technology» more  NIPS 2008»
    Optimization on a Budget: A Reinforcement Learning Approach
    14 years 29 days ago
    Optimization on a Budget: A Reinforcement Learning Approach
    Download  www.cs.arizona.edu
    Many popular optimization algorithms, like the Levenberg-Marquardt algorithm (LMA), use heuristic-based "controllers" that modulate the behavior of the optimizer during ...
    Paul Ruvolo, Ian R. Fasel, Javier R. Movellan
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    NIPS
    2008
    116views Information Technology» more  NIPS 2008»
    Algorithms for Infinitely Many-Armed Bandits
    14 years 29 days ago
    Algorithms for Infinitely Many-Armed Bandits
    Download  www.stat.lsa.umich.edu
    We consider multi-armed bandit problems where the number of arms is larger than the possible number of experiments. We make a stochastic assumption on the mean-reward of a new sel...
    Yizao Wang, Jean-Yves Audibert, Rémi Munos
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    NIPS
    2008
    89views Information Technology» more  NIPS 2008»
    Rademacher Complexity Bounds for Non-I.I.D. Processes
    14 years 29 days ago
    Rademacher Complexity Bounds for Non-I.I.D. Processes
    Download  www.cs.nyu.edu
    This paper presents the first Rademacher complexity-based error bounds for noni.i.d. settings, a generalization of similar existing bounds derived for the i.i.d. case. Our bounds ...
    Mehryar Mohri, Afshin Rostamizadeh
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