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    NIPS
    2007
    190views Information Technology» more  NIPS 2007»
    Bayesian Inference for Spiking Neuron Models with a Sparsity Prior
    15 years 4 months ago
    Bayesian Inference for Spiking Neuron Models with a Sparsity Prior
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    Generalized linear models are the most commonly used tools to describe the stimulus selectivity of sensory neurons. Here we present a Bayesian treatment of such models. Using the ...
    Sebastian Gerwinn, Jakob Macke, Matthias Seeger, M...
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    135
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    IJAR
    2010
    91views more  IJAR 2010»
    Inference and risk measurement with the pari-mutuel model
    15 years 1 months ago
    Inference and risk measurement with the pari-mutuel model
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    We explore generalizations of the pari-mutuel model (PMM), a formalization of an intuitive way of assessing an upper probability from a precise one. We discuss a naive extension o...
    Renato Pelessoni, Paolo Vicig, Marco Zaffalon
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    124
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    ICIP
    2008
    IEEE
    164views Image Processing» more  ICIP 2008»
    Photon-limited image denoising by inference on multiscale models
    16 years 4 months ago
    Photon-limited image denoising by inference on multiscale models
    Download  cvsp.cs.ntua.gr
    We present an improved statistical model of Poisson processes, with applications in photon-limited imaging. We build on previous work, adopting a multiscale representation of the ...
    Stamatios Lefkimmiatis, George Papandreou, Petros ...
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    120
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    EDM
    2010
    160views Data Mining» more  EDM 2010»
    Using Neural Imaging and Cognitive Modeling to Infer Mental States while Using an Intelligent Tutoring System
    15 years 4 months ago
    Using Neural Imaging and Cognitive Modeling to Infer Mental States while Using an Intelligent Tutoring System
    Download  educationaldatamining.org
    Functional magnetic resonance imaging (fMRI) data were collected while students worked with a tutoring system that taught an algebra isomorph. A cognitive model predicted the distr...
    Jon M. Fincham, John R. Anderson, Shawn Betts, Jen...
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    110
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    NIPS
    1998
    117views Information Technology» more  NIPS 1998»
    Fisher Scoring and a Mixture of Modes Approach for Approximate Inference and Learning in Nonlinear State Space Models
    15 years 4 months ago
    Fisher Scoring and a Mixture of Modes Approach for Approximate Inference and Learning in Nonlinear State Space Models
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    We present Monte-Carlo generalized EM equations for learning in nonlinear state space models. The dif
    Thomas Briegel, Volker Tresp
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