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Naoki Abe

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2008
63EEAurelie C. Lozano, Naoki Abe: Multi-class cost-sensitive boosting with p-norm loss functions. KDD 2008: 506-514
2007
62EEAndrew Arnold, Yan Liu, Naoki Abe: Temporal causal modeling with graphical granger methods. KDD 2007: 66-75
61EEHiroshi Mamitsuka, Naoki Abe: Active ensemble learning: Application to data mining and bioinformatics. Systems and Computers in Japan 38(11): 100-108 (2007)
2006
60EEBishwaranjan 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. DaMoN 2006: 1
59EEHisashi Kashima, Naoki Abe: A Parameterized Probabilistic Model of Network Evolution for Supervised Link Prediction. ICDM 2006: 340-349
58EENaoki Abe, Bianca Zadrozny, John Langford: Outlier detection by active learning. KDD 2006: 504-509
2005
57EEMarkus Ettl, Bianca Zadrozny, Pawan Chowdhary, Naoki Abe: Business Performance Management System for CRM and Sales Execution. DEXA Workshops 2005: 908-913
56EEAtsuyoshi Nakamura, Naoki Abe: Improvements to the Linear Programming Based Scheduling of Web Advertisements. Electronic Commerce Research 5(1): 75-98 (2005)
2004
55EENaoki Abe, Bianca Zadrozny, John Langford: An iterative method for multi-class cost-sensitive learning. KDD 2004: 3-11
54EENaoki Abe, Naval K. Verma, Chidanand Apté, Robert Schroko: Cross channel optimized marketing by reinforcement learning. KDD 2004: 767-772
53EENaoki Abe, Roni Khardon: Foreword. Theor. Comput. Sci. 313(2): 173-174 (2004)
2003
52EEBianca Zadrozny, John Langford, Naoki Abe: Cost-Sensitive Learning by Cost-Proportionate Example Weighting. ICDM 2003: 435-
51EENaoki Abe, Alan W. Biermann, Philip M. Long: Reinforcement Learning with Immediate Rewards and Linear Hypotheses. Algorithmica 37(4): 263-293 (2003)
2002
50EENaoki Abe, Edwin P. D. Pednault, Haixun Wang, Bianca Zadrozny, Wei Fan, Chidanand Apté: Empirical Comparison of Various Reinforcement Learning Strategies for Sequential Targeted Marketing. ICDM 2002: 3-10
49EEEdwin P. D. Pednault, Naoki Abe, Bianca Zadrozny: Sequential cost-sensitive decision making with reinforcement learning. KDD 2002: 259-268
48EEHiroshi Mamitsuka, Naoki Abe: Efficient Data Mining by Active Learning. Progress in Discovery Science 2002: 258-267
47EEAtsuyoshi Nakamura, Naoki Abe: Online Learning of Binary and n-ary Relations over Clustered Domains. J. Comput. Syst. Sci. 65(2): 224-256 (2002)
2001
46 Naoki Abe, Roni Khardon, Thomas Zeugmann: Algorithmic Learning Theory, 12th International Conference, ALT 2001, Washington, DC, USA, November 25-28, 2001, Proceedings Springer 2001
45EENaoki Abe, Roni Khardon, Thomas Zeugmann: Editors' Introduction. ALT 2001: 1-8
2000
44EEAtsuyoshi Nakamura, Naoki Abe, Hiroshi Matoba, Katsuhiro Ochiai: Automatic recording agent for digital video server. ACM Multimedia 2000: 57-66
43 Hiroshi Mamitsuka, Naoki Abe: Efficient Mining from Large Databases by Query Learning. ICML 2000: 575-582
42EENaoki Abe, Tomonari Kamba: A Web marketing system with automatic pricing. Computer Networks 33(1-6): 775-788 (2000)
41 Jun-ichi Takeuchi, Naoki Abe, Shun-ichi Amari: The Lob-Pass Problem. J. Comput. Syst. Sci. 61(3): 523-557 (2000)
1999
40 Naoki Abe, Atsuyoshi Nakamura: Learning to Optimally Schedule Internet Banner Advertisements. ICML 1999: 12-21
39 Naoki Abe, Philip M. Long: Associative Reinforcement Learning using Linear Probabilistic Concepts. ICML 1999: 3-11
38 Hang Li, Naoki Abe: Learning Dependencies between Case Frame Slots. Computational Linguistics 25(2): 283-291 (1999)
37EEMarc Langheinrich, Atsuyoshi Nakamura, Naoki Abe, Tomonari Kamba, Yoshiyuki Koseki: Unintrusive Customization Techniques for Web Advertising. Computer Networks 31(11-16): 1259-1272 (1999)
1998
36 Hang Li, Naoki Abe: Word Clustering and Disambiguation Based on Co-occurence Data. COLING-ACL 1998: 749-755
35EENaoki Abe, Hiroshi Mamitsuka, Atsuyoshi Nakamura: Empirical Comparison of Competing Query Learning Methods. Discovery Science 1998: 387-388
34 Naoki Abe, Hiroshi Mamitsuka: Query Learning Strategies Using Boosting and Bagging. ICML 1998: 1-9
33 Atsuyoshi Nakamura, Naoki Abe: Collaborative Filtering Using Weighted Majority Prediction Algorithms. ICML 1998: 395-403
32 Atsuyoshi Nakamura, Jun-ichi Takeuchi, Naoki Abe: Efficient Distribution-Free Population Learning of Simple Concepts. Ann. Math. Artif. Intell. 23(1-2): 53-82 (1998)
31EEHang Li, Naoki Abe: Word Clustering and Disambiguation Based on Co-occurrence Data CoRR cmp-lg/9807004: (1998)
30 Hang Li, Naoki Abe: Generalizing Case Frames Using a Thesaurus and the MDL Principle. Computational Linguistics 24(2): 217-244 (1998)
1997
29 Naoki Abe, Hiroshi Mamitsuka: Predicting Protein Secondary Structure Using Stochastic Tree Grammars. Machine Learning 29(2-3): 275-301 (1997)
28 Naoki Abe: Towards Realistic Theories of Learning. New Generation Comput. 15(1): 3-25 (1997)
1996
27EEHang Li, Naoki Abe: Learning Dependencies between Case Frame Slots. COLING 1996: 10-15
26EEHang Li, Naoki Abe: Clustering Words with the MDL Principle. COLING 1996: 4-9
25 Naoki Abe, Hang Li: Learning Word Association Norms Using Tree Cut Pair Models. ICML 1996: 3-11
24EEHang Li, Naoki Abe: Learning Dependencies between Case Frame Slots CoRR cmp-lg/9605013: (1996)
23EEHang Li, Naoki Abe: Clustering Words with the MDL Principle CoRR cmp-lg/9605014: (1996)
22EENaoki Abe, Hang Li: Learning Word Association Norms Using Tree Cut Pair Models CoRR cmp-lg/9605029: (1996)
1995
21EEAtsuyoshi Nakamura, Naoki Abe: On-line Learning of Binary and n-ary Relations over Multi-dimensional Clusters. COLT 1995: 214-221
20 Naoki Abe, Hang Li, Atsuyoshi Nakamura: On-line Learning of Binary Lexical Relations Using Two-dimensional Weighted Majority Algorithms. ICML 1995: 3-11
19EENaoki Abe, Hang Li, Atsuyoshi Nakamura: On-line Learning of Binary Lexical Relations Using Two-dimensional Weighted Majority Algorithms CoRR abs/cmp-lg/9507010: (1995)
18EEHang Li, Naoki Abe: Generalizing Case Frames Using a Thesaurus and the MDL Principle CoRR abs/cmp-lg/9507011: (1995)
17 Naoki Abe: Characterizing PAC-Learnability of Semilinear Sets Inf. Comput. 116(1): 81-102 (1995)
16EEAtsuyoshi Nakamura, Naoki Abe: Exact Learning of Linear Combinations of Monotone Terms from Function Value Queries. Theor. Comput. Sci. 137(1): 159-176 (1995)
1994
15 Naoki Abe: Towards Realistic Theories of Learning. AII/ALT 1994: 187-209
14 Atsuyoshi Nakamura, Naoki Abe, Jun-ichi Takeuchi: Efficient Distribution-free Population Learning of Simple Concepts. AII/ALT 1994: 500-515
13 Naoki Abe, Hiroshi Mamitsuka: A New Method for Predicting Protein Secondary Structures Based on Stochastic Tree Grammars. ICML 1994: 3-11
12 Hiroshi Mamitsuka, Naoki Abe: Predicting Location and Structure Of beta-Sheet Regions Using Stochastic Tree Grammars. ISMB 1994: 276-284
1993
11 Atsuyoshi Nakamura, Naoki Abe: Exact Learning of Linear Combinations of Monotone Terms from Function Value Queries. ALT 1993: 300-313
10EENaoki Abe, Jun-ichi Takeuchi: The "lob-pass" Problem and an On-line Learning Model of Rational Choice. COLT 1993: 422-428
1992
9 Naoki Abe, Manfred K. Warmuth: On the Computational Complexity of Approximating Distributions by Probabilistic Automata. Machine Learning 9: 205-260 (1992)
1991
8EENaoki Abe, Manfred K. Warmuth, Jun-ichi Takeuchi: Polynomial Learnability of Probabilistic Concepts with Respect to the Kullback-Leibler Divergence. COLT 1991: 277-289
7 Naoki Abe: On the Sample Complexity of Various Learning Strategies in the Probabilistic PAC Learning Paradigms. Nonmonotonic and Inductive Logic 1991: 89-106
6 Naoki Abe: Learning Commutative Deterministic Finite State Automata in Polynomial Time. New Generation Comput. 8(4): 319- (1991)
1990
5 Naoki Abe: Learning Commutative Deterministic Finite State Automata in Polynomial Time. ALT 1990: 223-235
4EENaoki Abe, Manfred K. Warmuth: On the Computational Complexity of Approximating Distributions by Probabilistic Automata. COLT 1990: 52-66
1989
3EENaoki Abe: Polynomial Learnability of Semilinear Sets. COLT 1989: 25-40
1988
2 Naoki Abe: Polynominal Learnability and Locality of Formal Grammars. ACL 1988: 225-232
1 Naoki Abe: Feasible learnability of formal grammars and the theory of natural language acquisition. COLING 1988: 1-6

Coauthor Index

1Shun-ichi Amari [41]
2Chidanand Apté [50] [54] [60]
3Andrew Arnold [62]
4Bishwaranjan Bhattacharjee [60]
5Alan W. Biermann [51]
6Marysabel del Carpio [60]
7Vamsavardhana R. Chillakuru [60]
8Pawan Chowdhary [57]
9Markus Ettl [57]
10Wei Fan [50]
11Kenneth Goldman [60]
12Tomonari Kamba [37] [42]
13Hisashi Kashima [59]
14Roni Khardon [45] [46] [53]
15Yoshiyuki Koseki [37]
16John Langford [52] [55] [58]
17Marc Langheinrich [37]
18Hang Li [18] [19] [20] [22] [23] [24] [25] [26] [27] [30] [31] [36] [38]
19Yan Liu (Yan (Jenny) Liu) [62]
20Philip M. Long [39] [51]
21Aurelie C. Lozano [63]
22Hiroshi Mamitsuka [12] [13] [29] [34] [35] [43] [48] [61]
23Hiroshi Matoba [44]
24Atsuyoshi Nakamura [11] [14] [16] [19] [20] [21] [32] [33] [35] [37] [40] [44] [47] [56]
25Katsuhiro Ochiai [44]
26Edwin P. D. Pednault [49] [50]
27Robert Schroko [54]
28Jun-ichi Takeuchi [8] [10] [14] [32] [41]
29Naval K. Verma [54]
30Haixun Wang [50]
31Manfred K. Warmuth [4] [8] [9]
32Bianca Zadrozny [49] [50] [52] [55] [57] [58] [60]
33Thomas Zeugmann [45] [46]

Colors in the list of coauthors

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)