Naoki Abe

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2009
61Grouped graphical Granger modeling for gene expression regulatory networks discovery. Aurelie C. Lozano, Naoki Abe, Yan Liu, Saharon Rosset. Bioinformatics (25) (2009). Web SearchBibTeXDownload
60Spatial-temporal causal modeling for climate change attribution. Aurelie C. Lozano, Hongfei Li, Alexandru Niculescu-Mizil, Yan Liu, Claudia Perlich, Jonathan R. M. Hosking, Naoki Abe. KDD 2009, 587-596. Web SearchBibTeXDownload
59Grouped graphical Granger modeling methods for temporal causal modeling. Aurelie C. Lozano, Naoki Abe, Yan Liu, Saharon Rosset. KDD 2009, 577-586. Web SearchBibTeXDownload
58Proximity-Based Anomaly Detection Using Sparse Structure Learning. Tsuyoshi Idé, Aurelie C. Lozano, Naoki Abe, Yan Liu. SDM 2009, 97-108. Web SearchBibTeXDownload
2008
57Multi-class cost-sensitive boosting with p-norm loss functions. Aurelie C. Lozano, Naoki Abe. KDD 2008, 506-514. Web SearchBibTeXDownload
2007
56Temporal causal modeling with graphical granger methods. Andrew Arnold, Yan Liu, Naoki Abe. KDD 2007, 66-75. Web SearchBibTeXDownload
55Active ensemble learning: Application to data mining and bioinformatics. Hiroshi Mamitsuka, Naoki Abe. Systems and Computers in Japan (38): 100-108 (2007). Web SearchBibTeXDownload
2006
54Using secure coprocessors for privacy preserving collaborative data mining and analysis. Bishwaranjan Bhattacharjee, Naoki Abe, Kenneth Goldman, Bianca Zadrozny, Vamsavardhana R. Chillakuru, Marysabel del Carpio, Chidanand Apté. DaMoN 2006, 1. Web SearchBibTeXDownload
53A Parameterized Probabilistic Model of Network Evolution for Supervised Link Prediction. Hisashi Kashima, Naoki Abe. ICDM 2006, 340-349. Web SearchBibTeXDownload
52Outlier detection by active learning. Naoki Abe, Bianca Zadrozny, John Langford. KDD 2006, 504-509. Web SearchBibTeXDownload
2005
51Business Performance Management System for CRM and Sales Execution. Markus Ettl, Bianca Zadrozny, Pawan Chowdhary, Naoki Abe. DEXA Workshops 2005, 908-913. Web SearchBibTeXDownload
50Improvements to the Linear Programming Based Scheduling of Web Advertisements. Atsuyoshi Nakamura, Naoki Abe. Electronic Commerce Research (5): 75-98 (2005). Web SearchBibTeXDownload
2004
49An iterative method for multi-class cost-sensitive learning. Naoki Abe, Bianca Zadrozny, John Langford. KDD 2004, 3-11. Web SearchBibTeXDownload
48Cross channel optimized marketing by reinforcement learning. Naoki Abe, Naval K. Verma, Chidanand Apté, Robert Schroko. KDD 2004, 767-772. Web SearchBibTeXDownload
2003
47Reinforcement Learning with Immediate Rewards and Linear Hypotheses. Naoki Abe, Alan W. Biermann, Philip M. Long. Algorithmica (37): 263-293 (2003). Web SearchBibTeXDownload
46Cost-Sensitive Learning by Cost-Proportionate Example Weighting. Bianca Zadrozny, John Langford, Naoki Abe. ICDM 2003, 435. Web SearchBibTeXDownload
2002
45Empirical Comparison of Various Reinforcement Learning Strategies for Sequential Targeted Marketing. Naoki Abe, Edwin P. D. Pednault, Haixun Wang, Bianca Zadrozny, Wei Fan, Chidanand Apté. ICDM 2002, 3-10. Web SearchBibTeXDownload
44Online Learning of Binary and n-ary Relations over Clustered Domains. Atsuyoshi Nakamura, Naoki Abe. J. Comput. Syst. Sci. (65): 224-256 (2002). Web SearchBibTeXDownload
43Sequential cost-sensitive decision making with reinforcement learning. Edwin P. D. Pednault, Naoki Abe, Bianca Zadrozny. KDD 2002, 259-268. Web SearchBibTeXDownload
42Efficient Data Mining by Active Learning. Hiroshi Mamitsuka, Naoki Abe. Progress in Discovery Science 2002, 258-267. Web SearchBibTeXDownload
2001
41Editors' Introduction. Edward J. Valauskas, Masayuki Numao, Frank Stephan, Erik Kamsties. ALT 2001, 1-8. Web SearchBibTeXDownload
2000
40Automatic recording agent for digital video server. Atsuyoshi Nakamura, Naoki Abe, Hiroshi Matoba, Katsuhiro Ochiai. ACM Multimedia 2000, 57-66. Web SearchBibTeXDownload
39A Web marketing system with automatic pricing. Naoki Abe, Tomonari Kamba. Computer Networks (33): 775-788 (2000). Web SearchBibTeXDownload
38Efficient Mining from Large Databases by Query Learning. Hiroshi Mamitsuka, Naoki Abe. ICML 2000, 575-582. Web SearchBibTeX
37The Lob-Pass Problem. Jun-ichi Takeuchi, Naoki Abe, Shun-ichi Amari. J. Comput. Syst. Sci. (61): 523-557 (2000). Web SearchBibTeX
1999
36Learning Dependencies between Case Frame Slots. Hang Li, Naoki Abe. Computational Linguistics (25): 283-291 (1999). Web SearchBibTeX
35Unintrusive Customization Techniques for Web Advertising. Marc Langheinrich, Atsuyoshi Nakamura, Naoki Abe, Tomonari Kamba, Yoshiyuki Koseki. Computer Networks (31): 1259-1272 (1999). Web SearchBibTeXDownload
34Associative Reinforcement Learning using Linear Probabilistic Concepts. Naoki Abe, Philip M. Long. ICML 1999, 3-11. Web SearchBibTeX
33Learning to Optimally Schedule Internet Banner Advertisements. Naoki Abe, Atsuyoshi Nakamura. ICML 1999, 12-21. Web SearchBibTeX
1998
32Efficient Distribution-Free Population Learning of Simple Concepts. Atsuyoshi Nakamura, Jun-ichi Takeuchi, Naoki Abe. Ann. Math. Artif. Intell. (23): 53-82 (1998). Web SearchBibTeX
31Word Clustering and Disambiguation Based on Co-occurence Data. Hang Li, Naoki Abe. COLING-ACL 1998, 749-755. Web SearchBibTeX
30Generalizing Case Frames Using a Thesaurus and the MDL Principle. Hang Li, Naoki Abe. Computational Linguistics (24): 217-244 (1998). Web SearchBibTeX
29Word Clustering and Disambiguation Based on Co-occurrence Data. Hang Li, Naoki Abe. CoRR (cmp-lg/9807004) (1998). Web SearchBibTeXDownload
28Empirical Comparison of Competing Query Learning Methods. Naoki Abe, Hiroshi Mamitsuka, Atsuyoshi Nakamura. Discovery Science 1998, 387-388. Web SearchBibTeXDownload
27Query Learning Strategies Using Boosting and Bagging. Naoki Abe, Hiroshi Mamitsuka. ICML 1998, 1-9. Web SearchBibTeX
26Collaborative Filtering Using Weighted Majority Prediction Algorithms. Atsuyoshi Nakamura, Naoki Abe. ICML 1998, 395-403. Web SearchBibTeX
1997
25Predicting Protein Secondary Structure Using Stochastic Tree Grammars. Naoki Abe, Hiroshi Mamitsuka. Machine Learning (29): 275-301 (1997). Web SearchBibTeX
24Towards Realistic Theories of Learning. Naoki Abe. New Generation Comput. (15): 3-25 (1997). Web SearchBibTeX
1996
23Learning Dependencies between Case Frame Slots. Hang Li, Naoki Abe. COLING 1996, 10-15. Web SearchBibTeXDownload
22Clustering Words with the MDL Principle. Hang Li, Naoki Abe. COLING 1996, 4-9. Web SearchBibTeXDownload
21Learning Word Association Norms Using Tree Cut Pair Models. Naoki Abe, Hang Li. ICML 1996, 3-11. Web SearchBibTeX
1995
20On-line Learning of Binary and n-ary Relations over Multi-dimensional Clusters. Atsuyoshi Nakamura, Naoki Abe. COLT 1995, 214-221. Web SearchBibTeXDownload
19Generalizing Case Frames Using a Thesaurus and the MDL Principle. Hang Li, Naoki Abe. CoRR (abs/cmp-lg/9507011) (1995). Web SearchBibTeXDownload
18On-line Learning of Binary Lexical Relations Using Two-dimensional Weighted Majority Algorithms. Naoki Abe, Hang Li, Atsuyoshi Nakamura. ICML 1995, 3-11. Web SearchBibTeX
17Characterizing PAC-Learnability of Semilinear Sets. Naoki Abe. Inf. Comput. (116): 81-102 (1995). Web SearchBibTeX
16Exact Learning of Linear Combinations of Monotone Terms from Function Value Queries. Atsuyoshi Nakamura, Naoki Abe. Theor. Comput. Sci. (137): 159-176 (1995). Web SearchBibTeXDownload
1994
15Towards Realistic Theories of Learning. Naoki Abe. AII/ALT 1994, 187-209. Web SearchBibTeX
14Efficient Distribution-free Population Learning of Simple Concepts. Atsuyoshi Nakamura, Naoki Abe, Jun-ichi Takeuchi. AII/ALT 1994, 500-515. Web SearchBibTeX
13A New Method for Predicting Protein Secondary Structures Based on Stochastic Tree Grammars. Naoki Abe, Hiroshi Mamitsuka. ICML 1994, 3-11. Web SearchBibTeX
12Predicting Location and Structure Of beta-Sheet Regions Using Stochastic Tree Grammars. Hiroshi Mamitsuka, Naoki Abe. ISMB 1994, 276-284. Web SearchBibTeX
1993
11Exact Learning of Linear Combinations of Monotone Terms from Function Value Queries. Atsuyoshi Nakamura, Naoki Abe. ALT 1993, 300-313. Web SearchBibTeX
10The "lob-pass" Problem and an On-line Learning Model of Rational Choice. Naoki Abe, Jun-ichi Takeuchi. COLT 1993, 422-428. Web SearchBibTeXDownload
1992
9On the Computational Complexity of Approximating Distributions by Probabilistic Automata. Naoki Abe, Manfred K. Warmuth. Machine Learning (9): 205-260 (1992). Web SearchBibTeX
1991
8Polynomial Learnability of Probabilistic Concepts with Respect to the Kullback-Leibler Divergence. Naoki Abe, Manfred K. Warmuth, Jun-ichi Takeuchi. COLT 1991, 277-289. Web SearchBibTeXDownload
7Learning Commutative Deterministic Finite State Automata in Polynomial Time. Naoki Abe. New Generation Comput. (8): 319 (1991). Web SearchBibTeX
6On the Sample Complexity of Various Learning Strategies in the Probabilistic PAC Learning Paradigms. Naoki Abe. Nonmonotonic and Inductive Logic 1991, 89-106. Web SearchBibTeX
1990
5Learning Commutative Deterministic Finite State Automata in Polynomial Time. Naoki Abe. ALT 1990, 223-235. Web SearchBibTeX
4On the Computational Complexity of Approximating Distributions by Probabilistic Automata. Naoki Abe, Manfred K. Warmuth. COLT 1990, 52-66. Web SearchBibTeXDownload
1989
3Polynomial Learnability of Semilinear Sets. Naoki Abe. COLT 1989, 25-40. Web SearchBibTeXDownload
1988
2Polynominal Learnability and Locality of Formal Grammars. Naoki Abe. ACL 1988, 225-232. Web SearchBibTeX
1Feasible learnability of formal grammars and the theory of natural language acquisition. Naoki Abe. COLING 1988, 1-6. Web SearchBibTeX
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References
1. ^ KDD 2009: Research Track Program Committee - Retrieved 2009-11-21 - details
2. ^ KDD 2008: Research Track Program Committee - Retrieved 2009-11-21 - details
3. ^ 2007 ICML Program Committee - Retrieved 2009-11-21 - details
4. ^ KDD 2007 Conference - Organizers Page - Retrieved 2009-11-21 - details
5. ^ KDD 2006 Conference - Workshops - Retrieved 2009-11-21 - details
6. ^ KDD 2006 Conference - Program - Retrieved 2009-11-22 - details
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