Hirotaka Inoue - researchr alias

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Viewing Publication 1 - 25 from 25

2014

Self-organizing Neural GroveHirotaka Inoue. iconip 2014: 143-150 [doi]

Incremental learning with self-organizing neural groveTomohiro Miyakoda, Hirotaka Inoue. scisisis 2014: 526-529 [doi]

2013

Self-Organizing Neural Grove and Its Application to Incremental LearningHirotaka Inoue. mcs 2013: 109-120 [doi]

Incremental learning using self-organizing neural groveHirotaka Inoue, Yudai Umemoto. ijcnn 2013: 1-5 [doi]

Self-organizing neural groveHirotaka Inoue, Kyoshiro Sugiyama. idaacs 2013: 319-323 [doi]

A study on an efficiency of new exponential Evolutionary ProgrammingKohei Mukaihara, Hirotaka Inoue. idaacs 2013: 300-303 [doi]

2011

Self-Organizing Neural Grove and Its Incremental Learning PerformanceHirotaka Inoue. foci 2011: 94-99

2010

Self-Organizing Neural Grove and Its Distributed PerformanceHirotaka Inoue. ica3pp 2010: 146-155 [doi]

Incremental Learning Using Self-Organizing Neural GroveHirotaka Inoue. icann 2010: 557-562 [doi]

2009

Self-Organizing Neural Grove and Its Parallel and Distributed PerformanceHirotaka Inoue. iconip 2009: 820-827 [doi]

Self-Organizing Neural Grove: Efficient Multiple Classifier System with Pruned Self-Generating Neural TreesHirotaka Inoue. In Leonardo Franco, David A. Elizondo, JosÃ© M. Jerez, editors, Constructive Neural Networks. Volume 258 of Studies in Computational Intelligence, pages 281-291, Springer, 2009. [doi]

Negative correlation in incremental learningFernanda L. Minku, Hirotaka Inoue, Xin Yao. nc, 8(2):289-320, 2009. [doi]

2008

Self-Organizing Neural Grove: Efficient Multiple Classifier System with Pruned Self-Generating Neural TreesHirotaka Inoue. icann 2008: 613-622 [doi]

Efficient Incremental Learning with Self-Organizing Neural GroveHirotaka Inoue, Hiroyuki Narihisa. dmin 2008: 578-582

2007

Efficient Incremental Learning Using Self-Organizing Neural GroveHirotaka Inoue, Hiroyuki Narihisa. iconip 2008: 762-770 [doi]

2005

Self-organizing neural grove: effective multiple classifier system with pruned self-generating neural treesHirotaka Inoue, Hiroyuki Narihisa. iscas 2005: 2502-2505 [doi]

Parallel performance of ensemble self-generating neural networks for chaotic time series prediction problemsHirotaka Inoue, Hiroyuki Narihisa. scjapan, 36(10):82-92, 2005. [doi]

2004

Self-organizing Neural Grove: Efficient Multiple Classifier System Using Pruned Self-generating Neural TreesHirotaka Inoue, Hiroyuki Narihisa. ppsn 2004: 1113-1122 [doi]

2003

Improving Performance of a Multiple Classifier System Using Self-generating Neural NetworksHirotaka Inoue, Hiroyuki Narihisa. mcs 2003: 256-265 [doi]

Effective Pruning Method for a Multiple Classifier System Based on Self-Generating Neural NetworksHirotaka Inoue, Hiroyuki Narihisa. icann 2003: 11-18 [doi]

2002

Optimizing a Multiple Classifier SystemHirotaka Inoue, Hiroyuki Narihisa. pricai 2002: 285-294 [doi]

2001

Efficient Hybrid Neural Network for Chaotic Time Series PredictionHirotaka Inoue, Yoshinobu Fukunaga, Hiroyuki Narihisa. icann 2001: 712-718 [doi]

Parallel and Distributed Mining with Ensemble Self-Generating Neural NetworksHirotaka Inoue, Hiroyuki Narihisa. icpads 2001: 423-428

2000

Predicting Chaotic Time Series by Ensemble Self-Generating Neural NetworksHirotaka Inoue, Hiroyuki Narihisa. ijcnn 2000: 231-236 [doi]

Improving Generalization Ability of Self-Generating Neural Networks Through Ensemble AveragingHirotaka Inoue, Hiroyuki Narihisa. pakdd 2000: 177-180

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