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    AAAI
    2011
    217views Intelligent Agents» more  AAAI 2011»
    Fast Newton-CG Method for Batch Learning of Conditional Random Fields
    13 years 9 months ago
    Fast Newton-CG Method for Batch Learning of Conditional Random Fields
    Download  2boy.org
    We propose a fast batch learning method for linearchain Conditional Random Fields (CRFs) based on Newton-CG methods. Newton-CG methods are a variant of Newton method for high-dime...
    Yuta Tsuboi, Yuya Unno, Hisashi Kashima, Naoaki Ok...
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    LREC
    2008
    180views Education» more  LREC 2008»
    MaltEval: an Evaluation and Visualization Tool for Dependency Parsing
    14 years 11 months ago
    MaltEval: an Evaluation and Visualization Tool for Dependency Parsing
    Download  www.lrec-conf.org
    This paper presents a freely available evaluation tool for dependency parsing, MaltEval (http://w3.msi.vxu.se/users/jni/malteval). It is flexible and extensible, and provides func...
    Jens Nilsson, Joakim Nivre
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    NIPS
    2007
    171views Information Technology» more  NIPS 2007»
    Continuous Time Particle Filtering for fMRI
    14 years 11 months ago
    Continuous Time Particle Filtering for fMRI
    Download  books.nips.cc
    We construct a biologically motivated stochastic differential model of the neural and hemodynamic activity underlying the observed Blood Oxygen Level Dependent (BOLD) signal in Fu...
    Lawrence Murray, Amos J. Storkey
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    NIPS
    1993
    79views Information Technology» more  NIPS 1993»
    Fast Pruning Using Principal Components
    14 years 11 months ago
    Fast Pruning Using Principal Components
    Download  www.bme.ogi.edu
    We present a new algorithm for eliminating excess parameters and improving network generalization after supervised training. The method, \Principal Components Pruning (PCP)",...
    Asriel U. Levin, Todd K. Leen, John E. Moody
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    MP
    2008
    91views more  MP 2008»
    The rate of convergence of the augmented Lagrangian method for nonlinear semidefinite programming
    14 years 9 months ago
    The rate of convergence of the augmented Lagrangian method for nonlinear semidefinite programming
    Download  www.math.nus.edu.sg
    We analyze the rate of local convergence of the augmented Lagrangian method for nonlinear semidefinite optimization. The presence of the positive semidefinite cone constraint requ...
    Defeng Sun, Jie Sun, Liwei Zhang
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