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Nitin Indurkhya: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Kenichi Yoshida, Hiroshi Motoda, Nitin Indurkhya
    Unifying Learning Methods by Colored Digraphs. [Citation Graph (1, 0)][DBLP]
    ALT, 1993, pp:342-355 [Conf]
  2. Sholom M. Weiss, Nitin Indurkhya
    Reduced Complexity Rule Induction. [Citation Graph (1, 0)][DBLP]
    IJCAI, 1991, pp:678-684 [Conf]
  3. Sholom M. Weiss, Nitin Indurkhya
    Decision Tree Pruning: Biased or Optimal? [Citation Graph (0, 0)][DBLP]
    AAAI, 1994, pp:626-632 [Conf]
  4. Makoto Iwayama, Nitin Indurkhya, Hiroshi Motoda
    A New Algorithm for Automatic Configuration of Hidden Markov Models. [Citation Graph (0, 0)][DBLP]
    ALT, 1993, pp:237-250 [Conf]
  5. Nitin Indurkhya, Sholom M. Weiss
    Using Case Data to Improve on Rule-based Function Approximation. [Citation Graph (0, 0)][DBLP]
    ICCBR, 1995, pp:217-228 [Conf]
  6. Sholom M. Weiss, Nitin Indurkhya
    Lightweight Rule Induction. [Citation Graph (0, 0)][DBLP]
    ICML, 2000, pp:1135-1142 [Conf]
  7. Sholom M. Weiss, Nitin Indurkhya
    Small Sample Decision tree Pruning. [Citation Graph (0, 0)][DBLP]
    ICML, 1994, pp:335-342 [Conf]
  8. Sholom M. Weiss, Nitin Indurkhya
    Rule-Based Regression. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1993, pp:1072-1078 [Conf]
  9. Sholom M. Weiss, Dawn M. Cohen, Nitin Indurkhya
    Transmembrane Segment Prediction from Protein Sequence Data. [Citation Graph (0, 0)][DBLP]
    ISMB, 1993, pp:420-428 [Conf]
  10. Nitin Indurkhya, Sholom M. Weiss
    Solving regression problems with rule-based ensemble classifiers. [Citation Graph (0, 0)][DBLP]
    KDD, 2001, pp:287-292 [Conf]
  11. Nitin Indurkhya, Sholom M. Weiss
    Rule-Based Ensemble Solutions for Regression. [Citation Graph (0, 0)][DBLP]
    MLDM, 2001, pp:62-72 [Conf]
  12. Sholom M. Weiss, Nitin Indurkhya
    Lightweight Collaborative Filtering Method for Binary-Encoded Data. [Citation Graph (0, 0)][DBLP]
    PKDD, 2001, pp:484-491 [Conf]
  13. Sholom M. Weiss, Nitin Indurkhya
    Decision-Rule Solutions for Data Mining with Missing Values. [Citation Graph (0, 0)][DBLP]
    IBERAMIA-SBIA, 2000, pp:1-10 [Conf]
  14. Fred Damerau, Tong Zhang, Sholom M. Weiss, Nitin Indurkhya
    Experiments in high-dimensional text categorization. [Citation Graph (0, 0)][DBLP]
    SIGIR, 2002, pp:357-358 [Conf]
  15. Sholom M. Weiss, Nitin Indurkhya
    Selecting the Right-Size Model for Prediction. [Citation Graph (0, 0)][DBLP]
    Appl. Intell., 1996, v:6, n:4, pp:261-273 [Journal]
  16. Sholom M. Weiss, Nitin Indurkhya
    Optimized Rule Induction. [Citation Graph (0, 0)][DBLP]
    IEEE Expert, 1993, v:8, n:6, pp:61-69 [Journal]
  17. Nitin Indurkhya, Sholom M. Weiss
    Estimating Performance Gains for Voted Decision Trees. [Citation Graph (0, 0)][DBLP]
    Intell. Data Anal., 1998, v:2, n:1-4, pp:303-310 [Journal]
  18. Fred Damerau, Tong Zhang, Sholom M. Weiss, Nitin Indurkhya
    Text categorization for a comprehensive time-dependent benchmark. [Citation Graph (0, 0)][DBLP]
    Inf. Process. Manage., 2004, v:40, n:2, pp:209-221 [Journal]
  19. Sholom M. Weiss, Nitin Indurkhya
    Rule-based Machine Learning Methods for Functional Prediction. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 1995, v:3, n:, pp:383-403 [Journal]

  20. Estimating Sales Opportunity Using Similarity-Based Methods. [Citation Graph (, )][DBLP]


  21. Graph-based induction as a unified learning framework. [Citation Graph (, )][DBLP]


  22. Guest editors' introduction. [Citation Graph (, )][DBLP]


  23. Iterative rule induction methods. [Citation Graph (, )][DBLP]


  24. Heuristic configuration of single hidden-layer feed-forward neural networks. [Citation Graph (, )][DBLP]


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