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Vladimir Koltchinskii: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Olivier Bousquet, Vladimir Koltchinskii, Dmitriy Panchenko
    Some Local Measures of Complexity of Convex Hulls and Generalization Bounds. [Citation Graph (0, 0)][DBLP]
    COLT, 2002, pp:59-73 [Conf]
  2. Vladimir Koltchinskii
    Entropy Bounds for Restricted Convex Hulls. [Citation Graph (0, 0)][DBLP]
    COLT, 2003, pp:741-742 [Conf]
  3. Vladimir Koltchinskii, Olexandra Beznosova
    Exponential Convergence Rates in Classification. [Citation Graph (0, 0)][DBLP]
    COLT, 2005, pp:295-307 [Conf]
  4. Vladimir Koltchinskii, Dmitry Panchenko, Savina Andonova
    Generalization Bounds for Voting Classifiers Based on Sparsity and Clustering. [Citation Graph (0, 0)][DBLP]
    COLT, 2003, pp:492-505 [Conf]
  5. Vladimir Koltchinskii, Dmitriy Panchenko, Fernando Lozano
    Further Explanation of the Effectiveness of Voting Methods: The Game between Margins and Weights. [Citation Graph (0, 0)][DBLP]
    COLT/EuroCOLT, 2001, pp:241-255 [Conf]
  6. Vladimir Koltchinskii, Manel Martínez-Ramón, Stefan Posse
    Optimal Aggregation of Classifiers and Boosting Maps in Functional Magnetic Resonance Imaging. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  7. Vladimir Koltchinskii, Dmitriy Panchenko, Fernando Lozano
    Some New Bounds on the Generalization Error of Combined Classifiers. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:245-251 [Conf]
  8. Sam Efromovich, Vladimir Koltchinskii
    On inverse problems with unknown operators. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 2001, v:47, n:7, pp:2876-2894 [Journal]
  9. Vladimir Koltchinskii
    Rademacher penalties and structural risk minimization. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 2001, v:47, n:5, pp:1902-1914 [Journal]

  10. Sparse Recovery in Large Ensembles of Kernel Machines On-Line Learning and Bandits. [Citation Graph (, )][DBLP]


  11. Self bounding genetic algorithms for machine learning. [Citation Graph (, )][DBLP]


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