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Evgueni N. Smirnov: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Evgueni N. Smirnov
    Space Fragmenting - A Method of Disjunctive Concept Acquisition. [Citation Graph (1, 0)][DBLP]
    AIMSA, 1992, pp:97-104 [Conf]
  2. Evgueni N. Smirnov, Peter J. Braspenning
    Version Space Retraction with Instance-Based Boundary Sets. [Citation Graph (0, 0)][DBLP]
    AIMSA, 1998, pp:389-402 [Conf]
  3. Evgueni N. Smirnov, H. Jaap van den Herik
    Applying Preference Biases to Conjunctive and Disjunctive Version Spaces. [Citation Graph (0, 0)][DBLP]
    AIMSA, 2000, pp:321-330 [Conf]
  4. Evgueni N. Smirnov, Ida G. Sprinkhuizen-Kuyper, H. Jaap van den Herik
    Efficient Instance Retraction. [Citation Graph (0, 0)][DBLP]
    AIMSA, 2002, pp:21-30 [Conf]
  5. Evgueni N. Smirnov, H. Jaap van den Herik, Ida G. Sprinkhuizen-Kuyper
    Adaptable Boundary Sets. [Citation Graph (0, 0)][DBLP]
    AMAI, 2002, pp:- [Conf]
  6. Evgueni N. Smirnov, Ida G. Sprinkhuizen-Kuyper, H. Jaap van den Herik
    One-Sided Instance-Based Boundary Sets. [Citation Graph (0, 0)][DBLP]
    Database Support for Data Mining Applications, 2004, pp:270-288 [Conf]
  7. Nikolay I. Nikolaev, Evgueni N. Smirnov
    Stochastically Guided Disjunctive Version Space Learning. [Citation Graph (0, 0)][DBLP]
    ECAI, 1996, pp:443-447 [Conf]
  8. Evgueni N. Smirnov, Peter J. Braspenning
    Version Space Learning with Instance-Based Boundary Sets. [Citation Graph (0, 0)][DBLP]
    ECAI, 1998, pp:460-464 [Conf]
  9. Evgueni N. Smirnov, Ida G. Sprinkhuizen-Kuyper, Georgi Nalbantov, Stijn Vanderlooy
    Version Space Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    ECAI, 2006, pp:809-810 [Conf]
  10. Evgueni N. Smirnov, Stijn Vanderlooy, Ida G. Sprinkhuizen-Kuyper
    Meta-Typicalness Approach to Reliable Classification. [Citation Graph (0, 0)][DBLP]
    ECAI, 2006, pp:811-812 [Conf]
  11. Nikolay I. Nikolaev, Evgueni N. Smirnov
    Analytical Learning Guided by Empirical Technology: An Approach to Integration (Extended Abstract). [Citation Graph (0, 0)][DBLP]
    ECML, 1995, pp:327-330 [Conf]
  12. Evgueni N. Smirnov, Ida G. Sprinkhuizen-Kuyper, Nikolay I. Nikolaev
    Generalizing Version Space Support Vector Machines for Non-Separable Data. [Citation Graph (0, 0)][DBLP]
    ICDM Workshops, 2006, pp:744-748 [Conf]
  13. Evgueni N. Smirnov, A. Kaptein
    Theoretical and Experimental Study of a Meta-Typicalness Approach for Reliable Classification. [Citation Graph (0, 0)][DBLP]
    ICDM Workshops, 2006, pp:739-743 [Conf]
  14. Evgueni N. Smirnov, Ida G. Sprinkhuizen-Kuyper, H. Jaap van den Herik
    New Version-Space Representations for Efficient Instance Retraction. [Citation Graph (0, 0)][DBLP]
    KDID, 2002, pp:32-49 [Conf]
  15. Evgueni N. Smirnov, Nikolay I. Nikolaev
    Multiple Explanation-based Learning Guided by Space Fragmenting. [Citation Graph (0, 0)][DBLP]
    SCAI, 1995, pp:85-96 [Conf]
  16. Evgueni N. Smirnov
    A Report on the ECAI-98 Conference from the Machine Learning Perspective. [Citation Graph (0, 0)][DBLP]
    AI Commun., 1998, v:11, n:3-4, pp:233-235 [Journal]
  17. Evgueni N. Smirnov, H. Jaap van den Herik, Ida G. Sprinkhuizen-Kuyper
    A Unifying Version-Space Representation. [Citation Graph (0, 0)][DBLP]
    Ann. Math. Artif. Intell., 2004, v:41, n:1, pp:47-76 [Journal]
  18. Nikolay Y. Nikolaev, Evgueni N. Smirnov
    A One-Step Unscented Particle Filter for Nonlinear Dynamical Systems. [Citation Graph (0, 0)][DBLP]
    ICANN (1), 2007, pp:747-756 [Conf]

  19. Single-Stacking Conformity Approach to Reliable Classification. [Citation Graph (, )][DBLP]


  20. Soft Nearest Convex Hull Classifier. [Citation Graph (, )][DBLP]


  21. Region Classification with Decision Trees. [Citation Graph (, )][DBLP]


  22. Image Mining for Intelligent Autonomous Coal Mining. [Citation Graph (, )][DBLP]


  23. Efficient AdaBoost Region Classification. [Citation Graph (, )][DBLP]


  24. k-Version-Space Multi-class Classification Based on k-Consistency Tests. [Citation Graph (, )][DBLP]


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