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Joel Ratsaby: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Joel Ratsaby
    A Stochastic Gradient Descent Algorithm for Structural Risk Minimisation. [Citation Graph (0, 0)][DBLP]
    ALT, 2003, pp:205-220 [Conf]
  2. Joel Ratsaby
    On the Complexity of Samples for Learning. [Citation Graph (0, 0)][DBLP]
    COCOON, 2004, pp:198-209 [Conf]
  3. Joel Ratsaby
    On the Combinatorial Representation of Information. [Citation Graph (0, 0)][DBLP]
    COCOON, 2006, pp:479-488 [Conf]
  4. Joel Ratsaby, Ron Meir, Vitaly Maiorov
    Towards Robust Model Selection Using Estimation and Approximation Error Bounds. [Citation Graph (0, 0)][DBLP]
    COLT, 1996, pp:57-67 [Conf]
  5. Joel Ratsaby, Santosh S. Venkatesh
    Learning from a Mixture of Labeled and Unlabeled Examples with Parametric Side Information. [Citation Graph (0, 0)][DBLP]
    COLT, 1995, pp:412-417 [Conf]
  6. Joel Ratsaby, Vitaly Maiorov
    Generalization of the PAC-Model for Learning with Partial Information. [Citation Graph (0, 0)][DBLP]
    EuroCOLT, 1997, pp:51-65 [Conf]
  7. Joel Ratsaby
    An Incremental Nearest Neighbor Algorithm with Queries. [Citation Graph (0, 0)][DBLP]
    NIPS, 1997, pp:- [Conf]
  8. Vitaly Maiorov, Joel Ratsaby
    The Degree of Approximation of Sets in Euclidean Space Using Sets with Bounded Vapnik-Chervonenkis Dimension. [Citation Graph (0, 0)][DBLP]
    Discrete Applied Mathematics, 1998, v:86, n:1, pp:81-93 [Journal]
  9. Joel Ratsaby
    On learning multicategory classification with sample queries. [Citation Graph (0, 0)][DBLP]
    Inf. Comput., 2003, v:185, n:2, pp:298-327 [Journal]
  10. Joel Ratsaby, Vitaly Maiorov
    On the Value of Partial Information for Learning from Examples. [Citation Graph (0, 0)][DBLP]
    J. Complexity, 1997, v:13, n:4, pp:509-543 [Journal]
  11. Joel Ratsaby, Vitaly Maiorov
    On the Learnability of Rich Function Classes. [Citation Graph (0, 0)][DBLP]
    J. Comput. Syst. Sci., 1999, v:58, n:1, pp:183-192 [Journal]
  12. Joel Ratsaby
    Incremental Learning With Sample Queries. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 1998, v:20, n:8, pp:883-888 [Journal]
  13. Joel Ratsaby
    Complexity of hyperconcepts. [Citation Graph (0, 0)][DBLP]
    Theor. Comput. Sci., 2006, v:363, n:1, pp:2-10 [Journal]
  14. Joel Ratsaby
    Information Efficiency. [Citation Graph (0, 0)][DBLP]
    SOFSEM (1), 2007, pp:475-487 [Conf]

  15. On the complexity of binary samples. [Citation Graph (, )][DBLP]


  16. Information Width [Citation Graph (, )][DBLP]


  17. On the Complexity of Binary Samples [Citation Graph (, )][DBLP]


  18. An algorithmic complexity interpretation of Lin's third law of information theory [Citation Graph (, )][DBLP]


  19. Algorithmic complexity and randomness in elastic solids [Citation Graph (, )][DBLP]


  20. How random are a learner's mistakes? [Citation Graph (, )][DBLP]


  21. Combinatorial information distance [Citation Graph (, )][DBLP]


  22. Learning, complexity and information density [Citation Graph (, )][DBLP]


  23. Random scattering of bits by prediction [Citation Graph (, )][DBLP]


  24. Prediction by Compression [Citation Graph (, )][DBLP]


  25. On the complexity of constrained VC-classes. [Citation Graph (, )][DBLP]


  26. Constrained versions of Sauer's lemma. [Citation Graph (, )][DBLP]


  27. VC-Dimensions of Random Function Classes. [Citation Graph (, )][DBLP]


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