Naoki Abe  Naoki Abe photo       

contact information

Senior Manager and Principal RSM, Center for Computational and Statistical Learning, Member of AoT
Thomas J. Watson Research Center, Yorktown Heights, NY USA
  +1dash914dash945dash3872

links



2014

A New Method for Predicting Protein Secondary Structures
Abe, Naoki and Mamitsuka, Hiroshi
Machine Learning Proceedings 1994: Proceedings of the Eighth International Conference, pp. 3, 2014
Abstract

Multi-period marketing-mix optimization with response spike forecasting
Takahashi, Rikiya and Yoshizumi, T and Mizuta, Hideyuki and Abe, Naoki and Kennedy, Ruby L and Jeffs, Vincent J and Shah, Ravi and Crites, Robert H
IBM Journal of Research and Development 58(5/6), 1--1, IBM, 2014
Abstract


2013

Collective response spike prediction for mutually interacting consumers
Takahashi, Rikiya and Mizuta, Hideyuki and Abe, Naoki and Kennedy, Ruby L and Jeffs, Vincent J and Shah, Ravi and Crites, Robert H
Data Mining (ICDM), 2013 IEEE 13th International Conference on, pp. 727--736
Abstract


2012

Tax Collections Optimization for New York State
Miller, Gerard and Weatherwax, Melissa and Gardinier, Timothy and Abe, Naoki and Melville, Prem and Pendus, Cezar and Jensen, David and Reddy, Chandan K and Thomas, Vince and Bennett, James and others
Interfaces 42(1), 74--84, INFORMS, 2012
Abstract


2011

Temporal Cross-Selling Optimization Using Action Proxy-Driven Reinforcement Learning
Li, Nan and Abe, Naoki
Data Mining Workshops (ICDMW), 2011 IEEE 11th International Conference on, pp. 259--266
Abstract

Group Orthogonal Matching Pursuit for Logistic Regression.
Lozano, Aur{\'e}lie C and Swirszcz, Grzegorz and Abe, Naoki
AISTATS, pp. 452--460, 2011
Abstract


2010

Optimizing debt collections using constrained reinforcement learning
Abe, Naoki and Melville, Prem and Pendus, Cezar and Reddy, Chandan K and Jensen, David L and Thomas, Vince P and Bennett, James J and Anderson, Gary F and Cooley, Brent R and Kowalczyk, Melissa and others
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 75--84, 2010
Abstract


2009

Grouped graphical Granger modeling methods for temporal causal modeling
Lozano, Aurelie C and Abe, Naoki and Liu, Yan and Rosset, Saharon
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 577--586, 2009
Abstract

Proximity-based anomaly detection using sparse structure learning
Id{\'e}, Tsuyoshi and Lozano, Aurelie C and Abe, Naoki and Liu, Yan
Proceedings of the 2009 SIAM international conference on data mining, pp. 97--108
Abstract

Grouped orthogonal matching pursuit for variable selection and prediction
Swirszcz, Grzegorz and Abe, Naoki and Lozano, Aurelie C
Advances in Neural Information Processing Systems, pp. 1150--1158, 2009
Abstract

Spatial-temporal causal modeling for climate change attribution
Lozano, Aurelie C and Li, Hongfei and Niculescu-Mizil, Alexandru and Liu, Yan and Perlich, Claudia and Hosking, Jonathan and Abe, Naoki
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 587--596, 2009
Abstract

Grouped graphical Granger modeling for gene expression regulatory networks discovery
Lozano, Aur{\'e}lie C and Abe, Naoki and Liu, Yan and Rosset, Saharon
Bioinformatics 25(12), i110--i118, Oxford Univ Press, 2009
Abstract


2008

Cost-sensitive Boosting with p-norm Loss Functionsand its Applications
Lozano, Aur{\'e}lie C and Abe, Naoki and 安倍直樹
MI lecture note series12, 65--74, 2008

Introduction to Boosting: Origin, Practice and Recent Developments
Abe, Naoki and Lozano, Aur{\'e}lie C and 安倍直樹
MI lecture note series12, 56--64, 2008

Multi-class cost-sensitive boosting with p-norm loss functions
Lozano, Aur{\'e}lie C and Abe, Naoki
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 506--514, 2008
Abstract


2007

Active ensemble learning: Application to data mining and bioinformatics
Mamitsuka, Hiroshi and Abe, Naoki
Systems and Computers in Japan 38(11), 100--108, Wiley Online Library, 2007
Abstract

Temporal causal modeling with graphical granger methods
Arnold, Andrew and Liu, Yan and Abe, Naoki
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 66--75, 2007
Abstract

On optimizing the selection of business transformation projects
Abe, Naoki and Akkiraju, Rama and Buckley, S and Ettl, Markus and Huang, Pu and Subramanian, Dharmashankar and Tipu, Fateh
IBM Systems Journal 46(4), 777--795, IBM, 2007
Abstract


2006

Using secure coprocessors for privacy preserving collaborative data mining and analysis
Bhattacharjee, Bishwaranjan and Abe, Naoki and Goldman, Kenneth and Zadrozny, Bianca and Chillakuru, Vamsavardhana R and del Carpio, Marysabel and Apte, Chid
Proceedings of the 2nd international workshop on Data management on new hardware, pp. 1, 2006
Abstract

Outlier detection by active learning
Abe, Naoki and Zadrozny, Bianca and Langford, John
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 504--509, 2006
Abstract


2005

Machine learning paradigms for utility-based data mining
Abe, Naoki
Proceedings of the 1st international workshop on Utility-based data mining, pp. 2--2, 2005
Abstract

Business performance management system for CRM and sales execution
Ettl, Markus and Zadrozny, Bianca and Chowdhary, Pawan and Abe, Naoki
Database and Expert Systems Applications, 2005. Proceedings. Sixteenth International Workshop on, pp. 908--913
Abstract


2004

An iterative method for multi-class cost-sensitive learning
Abe, Naoki and Zadrozny, Bianca and Langford, John
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 3--11, 2004
Abstract

Cross channel optimized marketing by reinforcement learning
Abe, Naoki and Verma, Naval and Apte, Chid and Schroko, Robert
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 767--772, 2004
Abstract


2003

Cost-sensitive learning by cost-proportionate example weighting
Zadrozny, Bianca and Langford, John and Abe, Naoki
Data Mining, 2003. ICDM 2003. Third IEEE International Conference on, pp. 435--442
Abstract


2002

Online learning of binary and n-ary relations over clustered domains
Nakamura, Atsuyoshi and Abe, Naoki
Journal of Computer and System Sciences 65(2), 224--256, Elsevier, 2002
Abstract

Empirical evaluation of a dynamic experiment design method for prediction of MHC class I-binding peptides
Udaka, Keiko and Mamitsuka, Hiroshi and Nakaseko, Yukinobu and Abe, Naoki
The Journal of Immunology 169(10), 5744--5753, Am Assoc Immnol, 2002
Abstract

Efficient data mining by active learning
Mamitsuka, Hiroshi and Abe, Naoki
Progress in Discovery Science, pp. 258--267, Springer, 2002
Abstract

Empirical comparison of various reinforcement learning strategies for sequential targeted marketing
Abe, Naoki and Pednault, Edwin and Wang, Haixun and Zadrozny, Bianca and Fan, Wei and Apt{\'e}, Chidanand
Data Mining, 2002. ICDM 2003. Proceedings. 2002 IEEE International Conference on, pp. 3--10
Abstract

Prediction of MHC class I binding peptides by a query learning algorithm based on hidden Markov models
Udaka, Keiko and Mamitsuka, Hiroshi and Nakaseko, Yukinobu and Abe, Naoki
Journal of biological physics 28(2), 183--194, Springer, 2002
Abstract

Sequential cost-sensitive decision making with reinforcement learning
Pednault, Edwin and Abe, Naoki and Zadrozny, Bianca
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 259--268, 2002
Abstract


2001

Distributed and Active Learning
ABE, NAOKI and YAMANISHI, KENJI and NAKAMURA, ATSUYOHSI
Foundations of Real-world Intelligence, 189, Center for the Study of Language and Inf, 2001


2000

The Lob--Pass Problem
Takeuchi, Jun-ichi and Abe, Naoki and Amari, Shun-ichi
Journal of Computer and System Sciences 61(3), 523--557, Elsevier, 2000
Abstract

A Web marketing system with automatic pricing
Abe, Naoki and Kamba, Tomonari
Computer Networks 33(1), 775--788, Elsevier, 2000
Abstract

Automatic recording agent for digital video server
Nakamura, Atsuyoshi and Abe, Naoki and Matoba, Hiroshi and Ochiai, Katsuhiro
Proceedings of the eighth ACM international conference on Multimedia, pp. 57--66, 2000
Abstract


1999

Unintrusive customization techniques for web advertising
Langheinrich, Marc and Nakamura, Atsuyoshi and Abe, Naoki and Kamba, Tomonari and Koseki, Yoshiyuki
Computer Networks 31(11), 1259--1272, Elsevier, 1999
Abstract

Learning to optimally schedule internet banner advertisements
Abe, Naoki and Nakamura, Atsuyoshi
ICML, pp. 12--21, 1999
Abstract

Associative reinforcement learning using linear probabilistic concepts
Abe, Naoki and Long, Philip M
ICML, pp. 3--11, 1999
Abstract


1998

Empirical comparison of competing query learning methods
Abe, Naoki and Mamitsuka, Hiroshi and Nakamura, Atsuyoshi
International Conference on Discovery Science, pp. 387--388, 1998
Abstract

Generalizing case frames using a thesaurus and the MDL principle
Li, Hang and Abe, Naoki
Computational linguistics 24(2), 217--244, MIT Press, 1998
Abstract

Collaborative Filtering Using Weighted Majority Prediction Algorithms.
Nakamura, Atsuyoshi and Abe, Naoki
ICML, pp. 395--403, 1998
Abstract

Word clustering and disambiguation based on co-occurrence data
Li, Hang and Abe, Naoki
Proceedings of the 17th international conference on Computational linguistics-Volume 2, pp. 749--755, 1998
Abstract


1997

Towards realistic theories of learning
Abe, Naoki
New Generation Computing 15(1), 3--25, Springer, 1997
Abstract

Predicting protein secondary structure using stochastic tree grammars
Abe, Naoki and Mamitsuka, Hiroshi
Machine learning 29(2-3), 275--301, Springer, 1997
Abstract

Clustering words with the MDL principle
Li, Hang and Abe, Naoki
Journal of Natural Language Processing 4(2), 71--88, The Association for Natural Language Processing, 1997
Abstract


1996

Learning word association norms using tree cut pair models
Abe, Naoki and Li, Hang
arXiv preprint cmp-lg/9605029, 1996
Abstract

Learning dependencies between case frame slots
Li, Hang and Abe, Naoki
Proceedings of the 16th conference on Computational linguistics-Volume 1, pp. 10--15, 1996
Abstract


1995

On-line Learning of Binary Relations and Its Application
Abe, Naoki and Nakamura, Atsuyoshi and Li, Hang
1995 - Citeseer, Citeseer
Abstract

On-line learning of binary lexical relations using twodimensional weighted majority algorithms
Abe, Naoki and Li, Hang and Nakamura, Atsuyoshi
Proc. 12th International Conference on Machine Learning, pp. 3--11, 1995
Abstract

On-line learning of binary and n-ary relations over multi-dimensional clusters
Nakamura, Atsuyoshi and Abe, Naoki
Proceedings of the eighth annual conference on Computational learning theory, pp. 214--221, 1995
Abstract

Characterizing PAC-learnability of semilinear sets
Abe, Naoki
Information and Computation 116(1), 81--102, Elsevier, 1995
Abstract

Exact learning of linear combinations of monotone terms from function value queries
Nakamura, Atsuyoshi and Abe, Naoki
Theoretical computer science 137(1), 159--176, Elsevier, 1995
Abstract


1994

A Protein Secondary Structure Prediction Method Based on Stochastic Tree Grammars
Abe, Naoki and Mamitsuka, Hiroshi
1994 - pdfs.semanticscholar.org
Abstract

Efficient distribution-free population learning of simple concepts
Nakamura, Atsuyoshi and Abe, Naoki and Takeuchi, Jun-ichi
Algorithmic Learning Theory, pp. 500--515, 1994
Abstract

A New Method for Predicting Protein Secondary Structures Based on Stochastic Tree Grammars.
Abe, Naoki and Mamitsuka, Hiroshi
ICML, pp. 3--11, 1994
Abstract

Predicting location and structure of beta-sheet regions using stochastic tree grammars.
Mamitsuka, Hiroshi and Abe, Naoki
Ismb, pp. 276--284, 1994
Abstract

Prediction of beta-sheet structures using stochastic tree grammars
Mamitsuka, Hiroshi and Abe, Naoki
Genome Informatics5, 19--28, Japanese Society for Bioinformatics, 1994
Abstract


1993

The “lob-pass” problem and an on-line learning model of rational choice
Abe, Naoki and Takeuchi, Jun-ichi
Proceedings of the sixth annual conference on Computational learning theory, pp. 422--428, 1993
Abstract


1992

On the computational complexity of approximating distributions by probabilistic automata
Abe, Naoki and Warmuth, Manfred K
Machine Learning 9(2-3), 205--260, Springer, 1992
Abstract


1991

Learning commutative deterministic finite state automata in polynomial time
Abe, Naoki
New Generation Computing 8(4), 319--335, Springer, 1991
Abstract


1989

Polynomial learnability of semilinear sets
Abe, Naoki
The 1989 Workshop on Computational Learning Theory, pp. 25--40
Abstract