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    ORL
    1998
    136views more  ORL 1998»
    A primal-dual interpretation of two 2-approximation algorithms for the feedback vertex set problem in undirected graphs
    14 years 9 months ago
    A primal-dual interpretation of two 2-approximation algorithms for the feedback vertex set problem in undirected graphs
    Download  www.cs.haifa.ac.il
    Recently, Becker and Geiger and Bafna, Berman and Fujito gave 2-approximation algorithms for the feedback vertex set problem in undirected graphs. We show how their algorithms can...
    Fabián A. Chudak, Michel X. Goemans, Dorit ...
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    QUESTA
    2007
    95views more  QUESTA 2007»
    Alternative proof and interpretations for a recent state-dependent importance sampling scheme
    14 years 9 months ago
    Alternative proof and interpretations for a recent state-dependent importance sampling scheme
    Download  eprints.eemcs.utwente.nl
    Recently, a state-dependent change of measure for simulating overflows in the two-node tandem queue was proposed by Dupuis et al. (Ann. Appl. Probab. 17(4):1306– 1346, 2007), to...
    Pieter-Tjerk de Boer, Werner R. W. Scheinhardt
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    RC
    2007
    128views more  RC 2007»
    Bounds on Generalized Linear Predictors with Incomplete Outcome Data
    14 years 9 months ago
    Bounds on Generalized Linear Predictors with Incomplete Outcome Data
    Download  homepages.nyu.edu
    This paper develops easily computed, tight bounds on Generalized Linear Predictors and instrumental variable estimators when outcome data are partially identi…ed. A salient exam...
    Jörg Stoye
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    RSA
    2008
    89views more  RSA 2008»
    Simple permutations mix even better
    14 years 9 months ago
    Simple permutations mix even better
    Download  people.cs.ubc.ca
    We study the random composition of a small family of O(n3 ) simple permutations on {0, 1}n . Specifically we ask how many randomly selected simple permutations need be composed to...
    Alex Brodsky, Shlomo Hoory
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    ICML
    2008
    IEEE
    97views Machine Learning» more  ICML 2008»
    An RKHS for multi-view learning and manifold co-regularization
    15 years 10 months ago
    An RKHS for multi-view learning and manifold co-regularization
    Download  people.cs.uchicago.edu
    Inspired by co-training, many multi-view semi-supervised kernel methods implement the following idea: find a function in each of multiple Reproducing Kernel Hilbert Spaces (RKHSs)...
    Vikas Sindhwani, David S. Rosenberg
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