Naoki Abe

Peder A. Olsen, Karthikeyan Natesan Ramamurthy, Naoki Abe, 2018, 2018 IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA).

Active ensemble learning: Application to data mining and bioinformatics

Naoki Abe, Hiroshi Mamitsuka, 2007 .

On the Computational Complexity of Approximating Distributions by Probabilistic Automata

Naoki Abe, Manfred K. Warmuth, N. Abe, 1990, Annual Conference Computational Learning Theory.

Predicting Protein Secondary Structure Using Stochastic Tree Grammars

Naoki Abe, Hiroshi Mamitsuka, N. Abe, 1997, Machine Learning.

Learning Dependencies between Case Frame Slots

Hang Li, Naoki Abe, 1999, Comput. Linguistics.

Proximity-Based Anomaly Detection Using Sparse Structure Learning

Naoki Abe, Yan Liu, Tsuyoshi Idé, 2009, SDM.

Temporal Cross-Selling Optimization Using Action Proxy-Driven Reinforcement Learning

Naoki Abe, Nan Li, 2011, 2011 IEEE 11th International Conference on Data Mining Workshops.

Exact Learning of Linear Combinations of Monotone Terms from Function Value Queries

Naoki Abe, Atsuyoshi Nakamura, N. Abe, 1995, International Conference on Algorithmic Learning Theory.

Learning to Optimally Schedule Internet Banner Advertisements

Naoki Abe, Atsuyoshi Nakamura, N. Abe, 1999, ICML.

Characterizing PAC-Learnability of Semilinear Sets

Naoki Abe, 1995, Inf. Comput..

Polynomial learnability of semilinear sets

Naoki Abe, 1989, COLT '89.

On optimizing the selection of business transformation projects

Naoki Abe, Markus Ettl, Rama Akkiraju, 2007, IBM Syst. J..

Data Science for Food, Energy and Water: A Workshop Report

Shashi Shekhar, Vipin Kumar, Naoki Abe, 2017, SKDD.

Algorithmic Learning Theory: 12th International Conference, ALT 2001 Washington, DC, USA, November 25–28, 2001 Proceedings

Naoki Abe, Thomas Zeugmann, Roni Khardon, 2001, Lecture Notes in Computer Science.

Sequential cost-sensitive decision making with reinforcement learning

Naoki Abe, Bianca Zadrozny, Edwin P. D. Pednault, 2002, KDD.

Efficient Mining from Large Databases by Query Learning

Naoki Abe, Hiroshi Mamitsuka, N. Abe, 2000, International Conference on Machine Learning.

A New Method for Predicting Protein Secondary Structures Based on Stochastic Tree Grammars

Naoki Abe, Hiroshi Mamitsuka, N. Abe, 1994, ICML.

Learning commutative deterministic finite state automata in polynomial time

Naoki Abe, 2009, New Generation Computing.

Collaborative Filtering Using Weighted Majority Prediction Algorithms

Naoki Abe, Atsuyoshi Nakamura, N. Abe, 1998, ICML.

Cost-sensitive learning by cost-proportionate example weighting

John Langford, Naoki Abe, Bianca Zadrozny, 2003, Third IEEE International Conference on Data Mining.

On the Sample Complexity of Various Learning Strategies in the Probabilistic PAC Learning Paradigms

Naoki Abe, 1991, Nonmonotonic and Inductive Logic.

Cross channel optimized marketing by reinforcement learning

Naoki Abe, Chidanand Apté, Naval K. Verma, 2004, KDD.

Improvements to the Linear Programming Based Scheduling of Web Advertisements

Naoki Abe, Atsuyoshi Nakamura, N. Abe, 2005, Electron. Commer. Res..

Predicting Location and Structure Of beta-Sheet Regions Using Stochastic Tree Grammars

Naoki Abe, Hiroshi Mamitsuka, 1994, ISMB.

DPPH Radical-Scavenging Compounds from Dou-Chi, a Soybean Fermented Food

Naoki Abe, Akira Hirota, N. Abe, 2005, Bioscience, biotechnology, and biochemistry.

Characterization of Lateral Flagella of Selenomonas ruminantium

Naoki Abe, Jun Kaneko, Shin-ichi Aizawa, 2011, Applied and Environmental Microbiology.