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    NIPS
    2003
    90views Information Technology» more  NIPS 2003»
    An MDP-Based Approach to Online Mechanism Design
    13 years 6 months ago
    An MDP-Based Approach to Online Mechanism Design
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    Online mechanism design (MD) considers the problem of providing incentives to implement desired system-wide outcomes in systems with self-interested agents that arrive and depart ...
    David C. Parkes, Satinder P. Singh
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    NIPS
    2003
    147views Information Technology» more  NIPS 2003»
    Design of Experiments via Information Theory
    13 years 6 months ago
    Design of Experiments via Information Theory
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    We discuss an idea for collecting data in a relatively efficient manner. Our point of view is Bayesian and information-theoretic: on any given trial, we want to adaptively choose...
    Liam Paninski
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    NIPS
    2003
    147views Information Technology» more  NIPS 2003»
    Nonstationary Covariance Functions for Gaussian Process Regression
    13 years 6 months ago
    Nonstationary Covariance Functions for Gaussian Process Regression
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    We introduce a class of nonstationary covariance functions for Gaussian process (GP) regression. Nonstationary covariance functions allow the model to adapt to functions whose smo...
    Christopher J. Paciorek, Mark J. Schervish
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    NIPS
    2003
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    Robustness in Markov Decision Problems with Uncertain Transition Matrices
    13 years 6 months ago
    Robustness in Markov Decision Problems with Uncertain Transition Matrices
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    Optimal solutions to Markov Decision Problems (MDPs) are very sensitive with respect to the state transition probabilities. In many practical problems, the estimation of those pro...
    Arnab Nilim, Laurent El Ghaoui
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    NIPS
    2003
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    Variational Linear Response
    13 years 6 months ago
    Variational Linear Response
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    A general linear response method for deriving improved estimates of correlations in the variational Bayes framework is presented. Three applications are given and it is discussed ...
    Manfred Opper, Ole Winther
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    NIPS
    2003
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    On the Concentration of Expectation and Approximate Inference in Layered Networks
    13 years 6 months ago
    On the Concentration of Expectation and Approximate Inference in Layered Networks
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    We present an analysis of concentration-of-expectation phenomena in layered Bayesian networks that use generalized linear models as the local conditional probabilities. This frame...
    XuanLong Nguyen, Michael I. Jordan
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    NIPS
    2003
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    Inferring State Sequences for Non-linear Systems with Embedded Hidden Markov Models
    13 years 6 months ago
    Inferring State Sequences for Non-linear Systems with Embedded Hidden Markov Models
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    We describe a Markov chain method for sampling from the distribution of the hidden state sequence in a non-linear dynamical system, given a sequence of observations. This method u...
    Radford M. Neal, Matthew J. Beal, Sam T. Roweis
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    NIPS
    2003
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    Information Dynamics and Emergent Computation in Recurrent Circuits of Spiking Neurons
    13 years 6 months ago
    Information Dynamics and Emergent Computation in Recurrent Circuits of Spiking Neurons
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    We employ an efficient method using Bayesian and linear classifiers for analyzing the dynamics of information in high-dimensional states of generic cortical microcircuit models....
    Thomas Natschläger, Wolfgang Maass
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    NIPS
    2003
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    One Microphone Blind Dereverberation Based on Quasi-periodicity of Speech Signals
    13 years 6 months ago
    One Microphone Blind Dereverberation Based on Quasi-periodicity of Speech Signals
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    Speech dereverberation is desirable with a view to achieving, for example, robust speech recognition in the real world. However, it is still a challenging problem, especially when...
    Tomohiro Nakatani, Masato Miyoshi, Keisuke Kinoshi...
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    NIPS
    2003
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    Mechanism of Neural Interference by Transcranial Magnetic Stimulation: Network or Single Neuron?
    13 years 6 months ago
    Mechanism of Neural Interference by Transcranial Magnetic Stimulation: Network or Single Neuron?
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    This paper proposes neural mechanisms of transcranial magnetic stimulation (TMS). TMS can stimulate the brain non-invasively through a brief magnetic pulse delivered by a coil pla...
    Yoichi Miyawaki, Masato Okada
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