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    NIPS
    2007
    132views Information Technology» more  NIPS 2007»
    Neural characterization in partially observed populations of spiking neurons
    13 years 6 months ago
    Neural characterization in partially observed populations of spiking neurons
    Download  pillowlab.cps.utexas.edu
    Point process encoding models provide powerful statistical methods for understanding the responses of neurons to sensory stimuli. Although these models have been successfully appl...
    Jonathan Pillow, Peter E. Latham
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    NIPS
    2007
    156views Information Technology» more  NIPS 2007»
    An Analysis of Convex Relaxations for MAP Estimation
    13 years 6 months ago
    An Analysis of Convex Relaxations for MAP Estimation
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    The problem of obtaining the maximum a posteriori estimate of a general discrete random field (i.e. a random field defined using a finite and discrete set of labels) is known ...
    Pawan Mudigonda, Vladimir Kolmogorov, Philip H. S....
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    NIPS
    2007
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    DIFFRAC: a discriminative and flexible framework for clustering
    13 years 6 months ago
    DIFFRAC: a discriminative and flexible framework for clustering
    Download  www.di.ens.fr
    We present a novel linear clustering framework (DIFFRAC) which relies on a linear discriminative cost function and a convex relaxation of a combinatorial optimization problem. The...
    Francis Bach, Zaïd Harchaoui
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    NIPS
    2007
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    A probabilistic model for generating realistic lip movements from speech
    13 years 6 months ago
    A probabilistic model for generating realistic lip movements from speech
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    The present work aims to model the correspondence between facial motion and speech. The face and sound are modelled separately, with phonemes being the link between both. We propo...
    Gwenn Englebienne, Tim Cootes, Magnus Rattray
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    NIPS
    2007
    124views Information Technology» more  NIPS 2007»
    Variational Inference for Diffusion Processes
    13 years 6 months ago
    Variational Inference for Diffusion Processes
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    Diffusion processes are a family of continuous-time continuous-state stochastic processes that are in general only partially observed. The joint estimation of the forcing paramete...
    Cédric Archambeau, Manfred Opper, Yuan Shen...
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    NIPS
    2007
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    A Game-Theoretic Approach to Apprenticeship Learning
    13 years 6 months ago
    A Game-Theoretic Approach to Apprenticeship Learning
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    We study the problem of an apprentice learning to behave in an environment with an unknown reward function by observing the behavior of an expert. We follow on the work of Abbeel ...
    Umar Syed, Robert E. Schapire
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    NIPS
    2007
    178views Information Technology» more  NIPS 2007»
    Supervised Topic Models
    13 years 6 months ago
    Supervised Topic Models
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    We introduce supervised latent Dirichlet allocation (sLDA), a statistical model of labelled documents. The model accommodates a variety of response types. We derive a maximum-like...
    David M. Blei, Jon D. McAuliffe
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    NIPS
    2007
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    Density Estimation under Independent Similarly Distributed Sampling Assumptions
    13 years 6 months ago
    Density Estimation under Independent Similarly Distributed Sampling Assumptions
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    A method is proposed for semiparametric estimation where parametric and nonparametric criteria are exploited in density estimation and unsupervised learning. This is accomplished ...
    Tony Jebara, Yingbo Song, Kapil Thadani
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    NIPS
    2007
    162views Information Technology» more  NIPS 2007»
    Bundle Methods for Machine Learning
    13 years 6 months ago
    Bundle Methods for Machine Learning
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    We present a globally convergent method for regularized risk minimization problems. Our method applies to Support Vector estimation, regression, Gaussian Processes, and any other ...
    Alex J. Smola, S. V. N. Vishwanathan, Quoc V. Le
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    NIPS
    2007
    167views Information Technology» more  NIPS 2007»
    Sparse Overcomplete Latent Variable Decomposition of Counts Data
    13 years 6 months ago
    Sparse Overcomplete Latent Variable Decomposition of Counts Data
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    An important problem in many fields is the analysis of counts data to extract meaningful latent components. Methods like Probabilistic Latent Semantic Analysis (PLSA) and Latent ...
    Madhusudana V. S. Shashanka, Bhiksha Raj, Paris Sm...
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