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    AAAI
    2006
    126views Intelligent Agents» more  AAAI 2006»
    Robust Support Vector Machine Training via Convex Outlier Ablation
    13 years 9 months ago
    Robust Support Vector Machine Training via Convex Outlier Ablation
    Download  webdocs.cs.ualberta.ca
    One of the well known risks of large margin training methods, such as boosting and support vector machines (SVMs), is their sensitivity to outliers. These risks are normally mitig...
    Linli Xu, Koby Crammer, Dale Schuurmans
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    APAL
    2008
    104views more  APAL 2008»
    Infinite trace equivalence
    13 years 7 months ago
    Infinite trace equivalence
    Download  www.cs.bham.ac.uk
    We solve a longstanding problem by providing a denotational model for nondeterministic programs that identifies two programs iff they have the same range of possible behaviours. W...
    Paul Blain Levy
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    JMLR
    2006
    150views more  JMLR 2006»
    Exact 1-Norm Support Vector Machines Via Unconstrained Convex Differentiable Minimization
    13 years 7 months ago
    Exact 1-Norm Support Vector Machines Via Unconstrained Convex Differentiable Minimization
    Download  jmlr.csail.mit.edu
    Support vector machines utilizing the 1-norm, typically set up as linear programs (Mangasarian, 2000; Bradley and Mangasarian, 1998), are formulated here as a completely unconstra...
    Olvi L. Mangasarian
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    CCE
    2004
    127views Software Engineering» more  CCE 2004»
    Computational studies using a novel simplicial-approximation based algorithm for MINLP optimization
    13 years 7 months ago
    Computational studies using a novel simplicial-approximation based algorithm for MINLP optimization
    Download  sol.rutgers.edu
    Significant advances have been made in the last two decades for the effective solution of mixed integer non-linear programming (MINLP) problems, mainly by exploiting the special s...
    Vishal Goyal, Marianthi G. Ierapetritou
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    UAI
    1997
    109views Artificial Intelligence» more  UAI 1997»
    Robustness Analysis of Bayesian Networks with Local Convex Sets of Distributions
    13 years 9 months ago
    Robustness Analysis of Bayesian Networks with Local Convex Sets of Distributions
    Download  www.ri.cmu.edu
    Robust Bayesian inference is the calculation of posterior probability bounds given perturbations in a probabilistic model. This paper focuses on perturbations that can be expresse...
    Fabio Gagliardi Cozman
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