2008 | ||
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63 | EE | Aurelie C. Lozano, Naoki Abe: Multi-class cost-sensitive boosting with p-norm loss functions. KDD 2008: 506-514 |
2007 | ||
62 | EE | Andrew Arnold, Yan Liu, Naoki Abe: Temporal causal modeling with graphical granger methods. KDD 2007: 66-75 |
61 | EE | Hiroshi Mamitsuka, Naoki Abe: Active ensemble learning: Application to data mining and bioinformatics. Systems and Computers in Japan 38(11): 100-108 (2007) |
2006 | ||
60 | EE | 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. DaMoN 2006: 1 |
59 | EE | Hisashi Kashima, Naoki Abe: A Parameterized Probabilistic Model of Network Evolution for Supervised Link Prediction. ICDM 2006: 340-349 |
58 | EE | Naoki Abe, Bianca Zadrozny, John Langford: Outlier detection by active learning. KDD 2006: 504-509 |
2005 | ||
57 | EE | Markus Ettl, Bianca Zadrozny, Pawan Chowdhary, Naoki Abe: Business Performance Management System for CRM and Sales Execution. DEXA Workshops 2005: 908-913 |
56 | EE | Atsuyoshi Nakamura, Naoki Abe: Improvements to the Linear Programming Based Scheduling of Web Advertisements. Electronic Commerce Research 5(1): 75-98 (2005) |
2004 | ||
55 | EE | Naoki Abe, Bianca Zadrozny, John Langford: An iterative method for multi-class cost-sensitive learning. KDD 2004: 3-11 |
54 | EE | Naoki Abe, Naval K. Verma, Chidanand Apté, Robert Schroko: Cross channel optimized marketing by reinforcement learning. KDD 2004: 767-772 |
53 | EE | Naoki Abe, Roni Khardon: Foreword. Theor. Comput. Sci. 313(2): 173-174 (2004) |
2003 | ||
52 | EE | Bianca Zadrozny, John Langford, Naoki Abe: Cost-Sensitive Learning by Cost-Proportionate Example Weighting. ICDM 2003: 435- |
51 | EE | Naoki Abe, Alan W. Biermann, Philip M. Long: Reinforcement Learning with Immediate Rewards and Linear Hypotheses. Algorithmica 37(4): 263-293 (2003) |
2002 | ||
50 | EE | 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. ICDM 2002: 3-10 |
49 | EE | Edwin P. D. Pednault, Naoki Abe, Bianca Zadrozny: Sequential cost-sensitive decision making with reinforcement learning. KDD 2002: 259-268 |
48 | EE | Hiroshi Mamitsuka, Naoki Abe: Efficient Data Mining by Active Learning. Progress in Discovery Science 2002: 258-267 |
47 | EE | Atsuyoshi 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 | |
45 | EE | Naoki Abe, Roni Khardon, Thomas Zeugmann: Editors' Introduction. ALT 2001: 1-8 |
2000 | ||
44 | EE | Atsuyoshi 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 | |
42 | EE | Naoki 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) | |
37 | EE | Marc 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 | |
35 | EE | Naoki 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) | |
31 | EE | Hang 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 | ||
27 | EE | Hang Li, Naoki Abe: Learning Dependencies between Case Frame Slots. COLING 1996: 10-15 |
26 | EE | Hang 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 | |
24 | EE | Hang Li, Naoki Abe: Learning Dependencies between Case Frame Slots CoRR cmp-lg/9605013: (1996) |
23 | EE | Hang Li, Naoki Abe: Clustering Words with the MDL Principle CoRR cmp-lg/9605014: (1996) |
22 | EE | Naoki Abe, Hang Li: Learning Word Association Norms Using Tree Cut Pair Models CoRR cmp-lg/9605029: (1996) |
1995 | ||
21 | EE | Atsuyoshi 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 | |
19 | EE | Naoki Abe, Hang Li, Atsuyoshi Nakamura: On-line Learning of Binary Lexical Relations Using Two-dimensional Weighted Majority Algorithms CoRR abs/cmp-lg/9507010: (1995) |
18 | EE | Hang 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) | |
16 | EE | Atsuyoshi 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 | |
10 | EE | Naoki 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 | ||
8 | EE | Naoki 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 | |
4 | EE | Naoki Abe, Manfred K. Warmuth: On the Computational Complexity of Approximating Distributions by Probabilistic Automata. COLT 1990: 52-66 |
1989 | ||
3 | EE | Naoki 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 |