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    SIAMJO
    2010
    128views more  SIAMJO 2010»
    Solving Log-Determinant Optimization Problems by a Newton-CG Primal Proximal Point Algorithm
    13 years 2 months ago
    Solving Log-Determinant Optimization Problems by a Newton-CG Primal Proximal Point Algorithm
    Download  www.math.nus.edu.sg
    We propose a Newton-CG primal proximal point algorithm for solving large scale log-determinant optimization problems. Our algorithm employs the essential ideas of the proximal poi...
    Chengjing Wang, Defeng Sun, Kim-Chuan Toh
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    EACL
    2009
    ACL Anthology
    123views Natural Language Processing» more  EACL 2009»
    Improving Grammaticality in Statistical Sentence Generation: Introducing a Dependency Spanning Tree Algorithm with an Argument S
    13 years 5 months ago
    Improving Grammaticality in Statistical Sentence Generation: Introducing a Dependency Spanning Tree Algorithm with an Argument S
    Download  www.aclweb.org
    like text summarisation requires a means of producing novel summary sentences. In order to improve the grammaticality of the generated sentence, we model a global (sentence) level...
    Stephen Wan, Mark Dras, Robert Dale, Cécile...
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    JMLR
    2010
    164views more  JMLR 2010»
    Solving the Uncapacitated Facility Location Problem Using Message Passing Algorithms
    13 years 2 months ago
    Solving the Uncapacitated Facility Location Problem Using Message Passing Algorithms
    Download  jmlr.csail.mit.edu
    The Uncapacitated Facility Location Problem (UFLP) is one of the most widely studied discrete location problems, whose applications arise in a variety of settings. We tackle the U...
    Nevena Lazic, Brendan J. Frey, Parham Aarabi
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    CP
    2006
    Springer
    103views Artificial Intelligence» more  CP 2006»
    Preprocessing QBF
    13 years 11 months ago
    Preprocessing QBF
    Download  www.cs.toronto.edu
    In this paper we investigate the use of preprocessing when solving Quantified Boolean Formulas (QBF). Many different problems can be efficiently encoded as QBF instances, and there...
    Horst Samulowitz, Jessica Davies, Fahiem Bacchus
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    ICIP
    2005
    IEEE
    112views Image Processing» more  ICIP 2005»
    Generalized Wiener estimation algorithms based on a family of heavy-tail distributions
    14 years 9 months ago
    Generalized Wiener estimation algorithms based on a family of heavy-tail distributions
    Download  www.ee.latrobe.edu.au
    A fundamental problem in signal processing is to estimate signal from noisy observations. When some prior information about the statistical models of the signal and noise is avail...
    Guang Deng
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