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    NIPS
    2007
    150views Information Technology» more  NIPS 2007»
    Collective Inference on Markov Models for Modeling Bird Migration
    13 years 10 months ago
    Collective Inference on Markov Models for Modeling Bird Migration
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    We investigate a family of inference problems on Markov models, where many sample paths are drawn from a Markov chain and partial information is revealed to an observer who attemp...
    Daniel Sheldon, M. A. Saleh Elmohamed, Dexter Koze...
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    NIPS
    2007
    180views Information Technology» more  NIPS 2007»
    Bayesian binning beats approximate alternatives: estimating peri-stimulus time histograms
    13 years 10 months ago
    Bayesian binning beats approximate alternatives: estimating peri-stimulus time histograms
    Download  research-repository.st-andrews.ac.uk
    The peristimulus time histogram (PSTH) and its more continuous cousin, the spike density function (SDF) are staples in the analytic toolkit of neurophysiologists. The former is us...
    Dominik Endres, Mike W. Oram, Johannes E. Schindel...
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    NIPS
    2007
    165views Information Technology» more  NIPS 2007»
    Expectation Maximization and Posterior Constraints
    13 years 10 months ago
    Expectation Maximization and Posterior Constraints
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    The expectation maximization (EM) algorithm is a widely used maximum likelihood estimation procedure for statistical models when the values of some of the variables in the model a...
    João Graça, Kuzman Ganchev, Ben Task...
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    NIPS
    2007
    144views Information Technology» more  NIPS 2007»
    Robust Regression with Twinned Gaussian Processes
    13 years 10 months ago
    Robust Regression with Twinned Gaussian Processes
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    We propose a Gaussian process (GP) framework for robust inference in which a GP prior on the mixing weights of a two-component noise model augments the standard process over laten...
    Andrew Naish-Guzman, Sean B. Holden
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    NIPS
    2007
    133views Information Technology» more  NIPS 2007»
    Managing Power Consumption and Performance of Computing Systems Using Reinforcement Learning
    13 years 10 months ago
    Managing Power Consumption and Performance of Computing Systems Using Reinforcement Learning
    Download  books.nips.cc
    Electrical power management in large-scale IT systems such as commercial datacenters is an application area of rapidly growing interest from both an economic and ecological perspe...
    Gerald Tesauro, Rajarshi Das, Hoi Chan, Jeffrey O....
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    NIPS
    2007
    137views Information Technology» more  NIPS 2007»
    Kernels on Attributed Pointsets with Applications
    13 years 10 months ago
    Kernels on Attributed Pointsets with Applications
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    This paper introduces kernels on attributed pointsets, which are sets of vectors embedded in an euclidean space. The embedding gives the notion of neighborhood, which is used to d...
    Mehul Parsana, Sourangshu Bhattacharya, Chiru Bhat...
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    NIPS
    2007
    202views Information Technology» more  NIPS 2007»
    A New View of Automatic Relevance Determination
    13 years 10 months ago
    A New View of Automatic Relevance Determination
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    Automatic relevance determination (ARD) and the closely-related sparse Bayesian learning (SBL) framework are effective tools for pruning large numbers of irrelevant features leadi...
    David P. Wipf, Srikantan S. Nagarajan
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    NIPS
    2007
    119views Information Technology» more  NIPS 2007»
    On Ranking in Survival Analysis: Bounds on the Concordance Index
    13 years 10 months ago
    On Ranking in Survival Analysis: Bounds on the Concordance Index
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    In this paper, we show that classical survival analysis involving censored data can naturally be cast as a ranking problem. The concordance index (CI), which quantifies the quali...
    Vikas C. Raykar, Harald Steck, Balaji Krishnapuram...
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    NIPS
    2007
    147views Information Technology» more  NIPS 2007»
    Adaptive Embedded Subgraph Algorithms using Walk-Sum Analysis
    13 years 10 months ago
    Adaptive Embedded Subgraph Algorithms using Walk-Sum Analysis
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    We consider the estimation problem in Gaussian graphical models with arbitrary structure. We analyze the Embedded Trees algorithm, which solves a sequence of problems on tractable...
    Venkat Chandrasekaran, Jason K. Johnson, Alan S. W...
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    NIPS
    2007
    110views Information Technology» more  NIPS 2007»
    Progressive mixture rules are deviation suboptimal
    13 years 10 months ago
    Progressive mixture rules are deviation suboptimal
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    Jean-Yves Audibert
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