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Author:
Leonard Pitt: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Leonard Pitt
    Inductive Inference, DFAs, and Computational Complexity. [Citation Graph (1, 0)][DBLP]
    AII, 1989, pp:18-44 [Conf]
  2. Dana Angluin, Michael Frazier, Leonard Pitt
    Learning Conjunctions of Horn Clauses (Extended Abstract) [Citation Graph (1, 0)][DBLP]
    FOCS, 1990, pp:186-192 [Conf]
  3. Dana Angluin, Michael Frazier, Leonard Pitt
    Learning Conjunctions of Horn Clauses. [Citation Graph (1, 0)][DBLP]
    Machine Learning, 1992, v:9, n:, pp:147-164 [Journal]
  4. Haym Hirsh, Nina Mishra, Leonard Pitt
    Version Spaces without Boundary Sets. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 1997, pp:491-496 [Conf]
  5. Leonard Pitt
    On Exploiting Knowledge and Concept Use in Learning Theory. [Citation Graph (0, 0)][DBLP]
    ALT, 1997, pp:62-84 [Conf]
  6. Leonard Pitt, Manfred K. Warmuth
    The Minimum Consistent DFA Problem Cannot be Approximated within any Polynomial (abstract). [Citation Graph (0, 0)][DBLP]
    Structure in Complexity Theory Conference, 1989, pp:230- [Conf]
  7. Howard Aizenstein, Leonard Pitt
    Exact Learning of Read-k Disjoint DNF and Not-So-Disjoint DNF. [Citation Graph (0, 0)][DBLP]
    COLT, 1992, pp:71-76 [Conf]
  8. Dana Angluin, Michael Frazier, Leonard Pitt
    Learning Conjunctions of Horn Clauses (Abstract). [Citation Graph (0, 0)][DBLP]
    COLT, 1990, pp:387- [Conf]
  9. Avrim Blum, Roni Khardon, Eyal Kushilevitz, Leonard Pitt, Dan Roth
    On Learning Read-k-Satisfy-j DNF. [Citation Graph (0, 0)][DBLP]
    COLT, 1994, pp:110-117 [Conf]
  10. Robert P. Daley, Leonard Pitt, Mahendran Velauthapillai, Todd Will
    Relations Between Probabilistic and Team One-Shot Learners (Extended Abstract). [Citation Graph (0, 0)][DBLP]
    COLT, 1991, pp:228-239 [Conf]
  11. Michael Frazier, Sally A. Goldman, Nina Mishra, Leonard Pitt
    Learning from a Consistently Ignorant Teacher. [Citation Graph (0, 0)][DBLP]
    COLT, 1994, pp:328-339 [Conf]
  12. Michael Frazier, Leonard Pitt
    CLASSIC Learning. [Citation Graph (0, 0)][DBLP]
    COLT, 1994, pp:23-34 [Conf]
  13. Michael J. Kearns, Leonard Pitt
    A Polynomial-Time Algorithm for Learning k-Variable Pattern Languages from Examples. [Citation Graph (0, 0)][DBLP]
    COLT, 1989, pp:57-71 [Conf]
  14. Stephen Kwek, Leonard Pitt
    PAC Learning Intersections of Halfspaces with Membership Queries (Extended Abstract). [Citation Graph (0, 0)][DBLP]
    COLT, 1996, pp:244-254 [Conf]
  15. Nina Mishra, Leonard Pitt
    Generating all Maximal Independent Sets of Bounded-Degree Hypergraphs. [Citation Graph (0, 0)][DBLP]
    COLT, 1997, pp:211-217 [Conf]
  16. David P. Helmbold, Stephen Kwek, Leonard Pitt
    Learning When to Trust Which Experts. [Citation Graph (0, 0)][DBLP]
    EuroCOLT, 1997, pp:134-149 [Conf]
  17. Howard Aizenstein, Lisa Hellerstein, Leonard Pitt
    Read-Thrice DNF Is Hard to Learn With Membership and Equivalence Queries [Citation Graph (0, 0)][DBLP]
    FOCS, 1992, pp:523-532 [Conf]
  18. Howard Aizenstein, Leonard Pitt
    Exact Learning of Read-Twice DNF Formulas (Extended Abstract) [Citation Graph (0, 0)][DBLP]
    FOCS, 1991, pp:170-179 [Conf]
  19. Leonard Pitt
    A Characterization of Probabilistic Inference [Citation Graph (0, 0)][DBLP]
    FOCS, 1984, pp:485-494 [Conf]
  20. Leonard Pitt, Carl H. Smith
    Probability and Plurality for Aggregations of Learning Machines. [Citation Graph (0, 0)][DBLP]
    ICALP, 1987, pp:1-10 [Conf]
  21. Joseph Elble, Cinda Heeren, Leonard Pitt
    Optimized Disjunctive Association Rules via Sampling. [Citation Graph (0, 0)][DBLP]
    ICDM, 2003, pp:43-50 [Conf]
  22. Michael Frazier, Leonard Pitt
    Learning From Entailment: An Application to Propositional Horn Sentences. [Citation Graph (0, 0)][DBLP]
    ICML, 1993, pp:120-127 [Conf]
  23. Cinda Heeren, Leonard Pitt
    Maximal boasting. [Citation Graph (0, 0)][DBLP]
    KDD, 2005, pp:580-585 [Conf]
  24. Cinda Heeren, H. V. Jagadish, Leonard Pitt
    Optimal indexing using near-minimal space. [Citation Graph (0, 0)][DBLP]
    PODS, 2003, pp:244-251 [Conf]
  25. Nina Mishra, Daniel Oblinger, Leonard Pitt
    Sublinear time approximate clustering. [Citation Graph (0, 0)][DBLP]
    SODA, 2001, pp:439-447 [Conf]
  26. Raymond A. Board, Leonard Pitt
    On the Necessity of Occam Algorithms [Citation Graph (0, 0)][DBLP]
    STOC, 1990, pp:54-63 [Conf]
  27. Michael J. Kearns, Ming Li, Leonard Pitt, Leslie G. Valiant
    On the Learnability of Boolean Formulae [Citation Graph (0, 0)][DBLP]
    STOC, 1987, pp:285-295 [Conf]
  28. Leonard Pitt, Manfred K. Warmuth
    The Minimum Consistent DFA Problem Cannot Be Approximated within any Polynomial [Citation Graph (0, 0)][DBLP]
    STOC, 1989, pp:421-432 [Conf]
  29. Haym Hirsh, Nina Mishra, Leonard Pitt
    Version spaces and the consistency problem. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 2004, v:156, n:2, pp:115-138 [Journal]
  30. Dan Gusfield, Leonard Pitt
    A Bounded Approximation for the Minimum Cost 2-Sat Problem. [Citation Graph (0, 0)][DBLP]
    Algorithmica, 1992, v:8, n:2, pp:103-117 [Journal]
  31. Stephen Kwek, Leonard Pitt
    PAC Learning Intersections of Halfspaces with Membership Queries. [Citation Graph (0, 0)][DBLP]
    Algorithmica, 1998, v:22, n:1/2, pp:53-75 [Journal]
  32. Howard Aizenstein, Tibor Hegedüs, Lisa Hellerstein, Leonard Pitt
    Complexity Theoretic Hardness Results for Query Learning. [Citation Graph (0, 0)][DBLP]
    Computational Complexity, 1998, v:7, n:1, pp:19-53 [Journal]
  33. Leonard Pitt, Carl H. Smith
    Probability and Plurality for Aggregations of Learning Machines [Citation Graph (0, 0)][DBLP]
    Inf. Comput., 1988, v:77, n:1, pp:77-92 [Journal]
  34. Dan Gusfield, Leonard Pitt
    Equivalent Approximation Algorithms for Node Cover. [Citation Graph (0, 0)][DBLP]
    Inf. Process. Lett., 1986, v:22, n:6, pp:291-294 [Journal]
  35. Leonard Pitt
    A Note on Extending Knuth's Tree Estimator to Directed Acyclic Graphs. [Citation Graph (0, 0)][DBLP]
    Inf. Process. Lett., 1987, v:24, n:3, pp:203-206 [Journal]
  36. Leonard Pitt
    Probabilistic inductive inference. [Citation Graph (0, 0)][DBLP]
    J. ACM, 1989, v:36, n:2, pp:383-433 [Journal]
  37. Leonard Pitt, Leslie G. Valiant
    Computational limitations on learning from examples. [Citation Graph (0, 0)][DBLP]
    J. ACM, 1988, v:35, n:4, pp:965-984 [Journal]
  38. Leonard Pitt, Manfred K. Warmuth
    The Minimum Consistent DFA Problem Cannot be Approximated within any Polynomial. [Citation Graph (0, 0)][DBLP]
    J. ACM, 1993, v:40, n:1, pp:95-142 [Journal]
  39. Michael Frazier, Sally A. Goldman, Nina Mishra, Leonard Pitt
    Learning from a Consistently Ignorant Teacher. [Citation Graph (0, 0)][DBLP]
    J. Comput. Syst. Sci., 1996, v:52, n:3, pp:471-492 [Journal]
  40. Leonard Pitt, Manfred K. Warmuth
    Prediction-Preserving Reducibility. [Citation Graph (0, 0)][DBLP]
    J. Comput. Syst. Sci., 1990, v:41, n:3, pp:430-467 [Journal]
  41. Howard Aizenstein, Leonard Pitt
    On The Learnability Of Disjunctive Normal Form Formulas. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1995, v:19, n:3, pp:183-208 [Journal]
  42. Raymond A. Board, Leonard Pitt
    Semi-Supervised Learning. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1989, v:4, n:, pp:41-65 [Journal]
  43. Michael Frazier, Leonard Pitt
    Classic Learning. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1996, v:25, n:2-3, pp:151-193 [Journal]
  44. Carlos Domingo, Nina Mishra, Leonard Pitt
    Efficient Read-Restricted Monotone CNF/DNF Dualization by Learning with Membership Queries. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1999, v:37, n:1, pp:89-110 [Journal]
  45. Leonard Pitt
    Introduction: Special Issue on Computational Learning Theory. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1990, v:5, n:, pp:117-120 [Journal]
  46. Leonard Pitt, Robert E. Reinke
    Criteria for Polynomial-Time (Conceptual) Clustering. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1987, v:2, n:4, pp:371-396 [Journal]
  47. Howard Aizenstein, Avrim Blum, Roni Khardon, Eyal Kushilevitz, Leonard Pitt, Dan Roth
    On Learning Read-k-Satisfy-j DNF. [Citation Graph (0, 0)][DBLP]
    SIAM J. Comput., 1998, v:27, n:6, pp:1515-1530 [Journal]
  48. Raymond A. Board, Leonard Pitt
    On the Necessity of Occam Algorithms. [Citation Graph (0, 0)][DBLP]
    Theor. Comput. Sci., 1992, v:100, n:1, pp:157-184 [Journal]

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