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Title:
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Naoki Abe: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Naoki Abe
    Polynominal Learnability and Locality of Formal Grammars. [Citation Graph (0, 0)][DBLP]
    ACL, 1988, pp:225-232 [Conf]
  2. Hang Li, Naoki Abe
    Word Clustering and Disambiguation Based on Co-occurence Data. [Citation Graph (0, 0)][DBLP]
    COLING-ACL, 1998, pp:749-755 [Conf]
  3. Naoki Abe
    Learning Commutative Deterministic Finite State Automata in Polynomial Time. [Citation Graph (0, 0)][DBLP]
    ALT, 1990, pp:223-235 [Conf]
  4. Naoki Abe
    Towards Realistic Theories of Learning. [Citation Graph (0, 0)][DBLP]
    AII/ALT, 1994, pp:187-209 [Conf]
  5. Naoki Abe, Roni Khardon, Thomas Zeugmann
    Editors' Introduction. [Citation Graph (0, 0)][DBLP]
    ALT, 2001, pp:1-8 [Conf]
  6. Atsuyoshi Nakamura, Naoki Abe
    Exact Learning of Linear Combinations of Monotone Terms from Function Value Queries. [Citation Graph (0, 0)][DBLP]
    ALT, 1993, pp:300-313 [Conf]
  7. Atsuyoshi Nakamura, Naoki Abe, Jun-ichi Takeuchi
    Efficient Distribution-free Population Learning of Simple Concepts. [Citation Graph (0, 0)][DBLP]
    AII/ALT, 1994, pp:500-515 [Conf]
  8. Naoki Abe
    Feasible learnability of formal grammars and the theory of natural language acquisition. [Citation Graph (0, 0)][DBLP]
    COLING, 1988, pp:1-6 [Conf]
  9. Hang Li, Naoki Abe
    Clustering Words with the MDL Principle. [Citation Graph (0, 0)][DBLP]
    COLING, 1996, pp:4-9 [Conf]
  10. Hang Li, Naoki Abe
    Learning Dependencies between Case Frame Slots. [Citation Graph (0, 0)][DBLP]
    COLING, 1996, pp:10-15 [Conf]
  11. Naoki Abe
    Polynomial Learnability of Semilinear Sets. [Citation Graph (0, 0)][DBLP]
    COLT, 1989, pp:25-40 [Conf]
  12. Naoki Abe, Jun-ichi Takeuchi
    The "lob-pass" Problem and an On-line Learning Model of Rational Choice. [Citation Graph (0, 0)][DBLP]
    COLT, 1993, pp:422-428 [Conf]
  13. Naoki Abe, Manfred K. Warmuth
    On the Computational Complexity of Approximating Distributions by Probabilistic Automata. [Citation Graph (0, 0)][DBLP]
    COLT, 1990, pp:52-66 [Conf]
  14. Naoki Abe, Manfred K. Warmuth, Jun-ichi Takeuchi
    Polynomial Learnability of Probabilistic Concepts with Respect to the Kullback-Leibler Divergence. [Citation Graph (0, 0)][DBLP]
    COLT, 1991, pp:277-289 [Conf]
  15. Atsuyoshi Nakamura, Naoki Abe
    On-line Learning of Binary and n-ary Relations over Multi-dimensional Clusters. [Citation Graph (0, 0)][DBLP]
    COLT, 1995, pp:214-221 [Conf]
  16. Bishwaranjan Bhattacharjee, Naoki Abe, Kenneth Goldman, Bianca Zadrozny, Vamsavardhana R. Chillakuru, Marysabel del Carpio, Chidanand Apté
    Using secure coprocessors for privacy preserving collaborative data mining and analysis. [Citation Graph (0, 0)][DBLP]
    DaMoN, 2006, pp:1- [Conf]
  17. Markus Ettl, Bianca Zadrozny, Pawan Chowdhary, Naoki Abe
    Business Performance Management System for CRM and Sales Execution. [Citation Graph (0, 0)][DBLP]
    DEXA Workshops, 2005, pp:908-913 [Conf]
  18. Naoki Abe, Hiroshi Mamitsuka, Atsuyoshi Nakamura
    Empirical Comparison of Competing Query Learning Methods. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 1998, pp:387-388 [Conf]
  19. Hiroshi Mamitsuka, Naoki Abe
    Efficient Data Mining by Active Learning. [Citation Graph (0, 0)][DBLP]
    Progress in Discovery Science, 2002, pp:258-267 [Conf]
  20. Naoki Abe, Edwin P. D. Pednault, Haixun Wang, Bianca Zadrozny, Wei Fan, Chidanand Apté
    Empirical Comparison of Various Reinforcement Learning Strategies for Sequential Targeted Marketing. [Citation Graph (0, 0)][DBLP]
    ICDM, 2002, pp:3-10 [Conf]
  21. Bianca Zadrozny, John Langford, Naoki Abe
    Cost-Sensitive Learning by Cost-Proportionate Example Weighting. [Citation Graph (0, 0)][DBLP]
    ICDM, 2003, pp:435-0 [Conf]
  22. Hisashi Kashima, Naoki Abe
    A Parameterized Probabilistic Model of Network Evolution for Supervised Link Prediction. [Citation Graph (0, 0)][DBLP]
    ICDM, 2006, pp:340-349 [Conf]
  23. Naoki Abe, Hang Li
    Learning Word Association Norms Using Tree Cut Pair Models. [Citation Graph (0, 0)][DBLP]
    ICML, 1996, pp:3-11 [Conf]
  24. Naoki Abe, Philip M. Long
    Associative Reinforcement Learning using Linear Probabilistic Concepts. [Citation Graph (0, 0)][DBLP]
    ICML, 1999, pp:3-11 [Conf]
  25. Naoki Abe, Hang Li, Atsuyoshi Nakamura
    On-line Learning of Binary Lexical Relations Using Two-dimensional Weighted Majority Algorithms. [Citation Graph (0, 0)][DBLP]
    ICML, 1995, pp:3-11 [Conf]
  26. Naoki Abe, Hiroshi Mamitsuka
    A New Method for Predicting Protein Secondary Structures Based on Stochastic Tree Grammars. [Citation Graph (0, 0)][DBLP]
    ICML, 1994, pp:3-11 [Conf]
  27. Naoki Abe, Hiroshi Mamitsuka
    Query Learning Strategies Using Boosting and Bagging. [Citation Graph (0, 0)][DBLP]
    ICML, 1998, pp:1-9 [Conf]
  28. Naoki Abe, Atsuyoshi Nakamura
    Learning to Optimally Schedule Internet Banner Advertisements. [Citation Graph (0, 0)][DBLP]
    ICML, 1999, pp:12-21 [Conf]
  29. Hiroshi Mamitsuka, Naoki Abe
    Efficient Mining from Large Databases by Query Learning. [Citation Graph (0, 0)][DBLP]
    ICML, 2000, pp:575-582 [Conf]
  30. Atsuyoshi Nakamura, Naoki Abe
    Collaborative Filtering Using Weighted Majority Prediction Algorithms. [Citation Graph (0, 0)][DBLP]
    ICML, 1998, pp:395-403 [Conf]
  31. Hiroshi Mamitsuka, Naoki Abe
    Predicting Location and Structure Of beta-Sheet Regions Using Stochastic Tree Grammars. [Citation Graph (0, 0)][DBLP]
    ISMB, 1994, pp:276-284 [Conf]
  32. Naoki Abe, Naval K. Verma, Chidanand Apté, Robert Schroko
    Cross channel optimized marketing by reinforcement learning. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:767-772 [Conf]
  33. Naoki Abe, Bianca Zadrozny, John Langford
    An iterative method for multi-class cost-sensitive learning. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:3-11 [Conf]
  34. Naoki Abe, Bianca Zadrozny, John Langford
    Outlier detection by active learning. [Citation Graph (0, 0)][DBLP]
    KDD, 2006, pp:504-509 [Conf]
  35. Edwin P. D. Pednault, Naoki Abe, Bianca Zadrozny
    Sequential cost-sensitive decision making with reinforcement learning. [Citation Graph (0, 0)][DBLP]
    KDD, 2002, pp:259-268 [Conf]
  36. Atsuyoshi Nakamura, Naoki Abe, Hiroshi Matoba, Katsuhiro Ochiai
    Automatic recording agent for digital video server. [Citation Graph (0, 0)][DBLP]
    ACM Multimedia, 2000, pp:57-66 [Conf]
  37. Naoki Abe
    On the Sample Complexity of Various Learning Strategies in the Probabilistic PAC Learning Paradigms. [Citation Graph (0, 0)][DBLP]
    Nonmonotonic and Inductive Logic, 1991, pp:89-106 [Conf]
  38. Naoki Abe, Alan W. Biermann, Philip M. Long
    Reinforcement Learning with Immediate Rewards and Linear Hypotheses. [Citation Graph (0, 0)][DBLP]
    Algorithmica, 2003, v:37, n:4, pp:263-293 [Journal]
  39. Atsuyoshi Nakamura, Jun-ichi Takeuchi, Naoki Abe
    Efficient Distribution-Free Population Learning of Simple Concepts. [Citation Graph (0, 0)][DBLP]
    Ann. Math. Artif. Intell., 1998, v:23, n:1-2, pp:53-82 [Journal]
  40. Naoki Abe, Tomonari Kamba
    A Web marketing system with automatic pricing. [Citation Graph (0, 0)][DBLP]
    Computer Networks, 2000, v:33, n:1-6, pp:775-788 [Journal]
  41. Marc Langheinrich, Atsuyoshi Nakamura, Naoki Abe, Tomonari Kamba, Yoshiyuki Koseki
    Unintrusive Customization Techniques for Web Advertising. [Citation Graph (0, 0)][DBLP]
    Computer Networks, 1999, v:31, n:11-16, pp:1259-1272 [Journal]
  42. Hang Li, Naoki Abe
    Generalizing Case Frames Using a Thesaurus and the MDL Principle. [Citation Graph (0, 0)][DBLP]
    Computational Linguistics, 1998, v:24, n:2, pp:217-244 [Journal]
  43. Hang Li, Naoki Abe
    Learning Dependencies between Case Frame Slots. [Citation Graph (0, 0)][DBLP]
    Computational Linguistics, 1999, v:25, n:2, pp:283-291 [Journal]
  44. Hang Li, Naoki Abe
    Learning Dependencies between Case Frame Slots [Citation Graph (0, 0)][DBLP]
    CoRR, 1996, v:0, n:, pp:- [Journal]
  45. Hang Li, Naoki Abe
    Clustering Words with the MDL Principle [Citation Graph (0, 0)][DBLP]
    CoRR, 1996, v:0, n:, pp:- [Journal]
  46. Naoki Abe, Hang Li
    Learning Word Association Norms Using Tree Cut Pair Models [Citation Graph (0, 0)][DBLP]
    CoRR, 1996, v:0, n:, pp:- [Journal]
  47. Hang Li, Naoki Abe
    Word Clustering and Disambiguation Based on Co-occurrence Data [Citation Graph (0, 0)][DBLP]
    CoRR, 1998, v:0, n:, pp:- [Journal]
  48. Atsuyoshi Nakamura, Naoki Abe
    Improvements to the Linear Programming Based Scheduling of Web Advertisements. [Citation Graph (0, 0)][DBLP]
    Electronic Commerce Research, 2005, v:5, n:1, pp:75-98 [Journal]
  49. Naoki Abe
    Characterizing PAC-Learnability of Semilinear Sets [Citation Graph (0, 0)][DBLP]
    Inf. Comput., 1995, v:116, n:1, pp:81-102 [Journal]
  50. Atsuyoshi Nakamura, Naoki Abe
    Online Learning of Binary and n-ary Relations over Clustered Domains. [Citation Graph (0, 0)][DBLP]
    J. Comput. Syst. Sci., 2002, v:65, n:2, pp:224-256 [Journal]
  51. Jun-ichi Takeuchi, Naoki Abe, Shun-ichi Amari
    The Lob-Pass Problem. [Citation Graph (0, 0)][DBLP]
    J. Comput. Syst. Sci., 2000, v:61, n:3, pp:523-557 [Journal]
  52. Naoki Abe, Hiroshi Mamitsuka
    Predicting Protein Secondary Structure Using Stochastic Tree Grammars. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1997, v:29, n:2-3, pp:275-301 [Journal]
  53. Naoki Abe, Manfred K. Warmuth
    On the Computational Complexity of Approximating Distributions by Probabilistic Automata. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1992, v:9, n:, pp:205-260 [Journal]
  54. Naoki Abe
    Learning Commutative Deterministic Finite State Automata in Polynomial Time. [Citation Graph (0, 0)][DBLP]
    New Generation Comput., 1991, v:8, n:4, pp:319-0 [Journal]
  55. Naoki Abe
    Towards Realistic Theories of Learning. [Citation Graph (0, 0)][DBLP]
    New Generation Comput., 1997, v:15, n:1, pp:3-25 [Journal]
  56. Naoki Abe, Roni Khardon
    Foreword. [Citation Graph (0, 0)][DBLP]
    Theor. Comput. Sci., 2004, v:313, n:2, pp:173-174 [Journal]
  57. Atsuyoshi Nakamura, Naoki Abe
    Exact Learning of Linear Combinations of Monotone Terms from Function Value Queries. [Citation Graph (0, 0)][DBLP]
    Theor. Comput. Sci., 1995, v:137, n:1, pp:159-176 [Journal]
  58. Andrew Arnold, Yan Liu, Naoki Abe
    Temporal causal modeling with graphical granger methods. [Citation Graph (0, 0)][DBLP]
    KDD, 2007, pp:66-75 [Conf]

  59. Multi-class cost-sensitive boosting with p-norm loss functions. [Citation Graph (, )][DBLP]


  60. Grouped graphical Granger modeling methods for temporal causal modeling. [Citation Graph (, )][DBLP]


  61. Spatial-temporal causal modeling for climate change attribution. [Citation Graph (, )][DBLP]


  62. Optimizing debt collections using constrained reinforcement learning. [Citation Graph (, )][DBLP]


  63. Proximity-Based Anomaly Detection Using Sparse Structure Learning. [Citation Graph (, )][DBLP]


  64. Grouped graphical Granger modeling for gene expression regulatory networks discovery. [Citation Graph (, )][DBLP]


  65. On-line Learning of Binary Lexical Relations Using Two-dimensional Weighted Majority Algorithms [Citation Graph (, )][DBLP]


  66. Generalizing Case Frames Using a Thesaurus and the MDL Principle [Citation Graph (, )][DBLP]


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