Seishi Okamoto - researchr alias

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Viewing Publication 1 - 22 from 22

2014

Discovery of Areas with Locally Maximal Confidence from Location DataHiroya Inakoshi, Hiroaki Morikawa, Tatsuya Asai, Nobuhiro Yugami, Seishi Okamoto. dasfaa 2014: 47-61 [doi]

An AdaBoost for Efficient Use of Confidences of Weak Hypotheses on Text CategorizationTomoya Iwakura, Takahiro Saitou, Seishi Okamoto. pricai 2014: 782-794 [doi]

2012

Improving Parse Trees for Efficient Variable-to-Fixed Length CodesSatoshi Yoshida, Takashi Uemura, Takuya Kida, Tatsuya Asai, Seishi Okamoto. jip, 20(1):238-249, 2012. [doi]

2010

2009

Facilitating Search through Visualized ResultsTakahisa Ando, Satoko Shiga, Tomoya Iwakura, Seishi Okamoto. hci 2009: 339-344 [doi]

Improving Named Entity Extraction Accuracy using Unlabeled Data and Several Extractors (pp. 29-38)Tomoya Iwakura, Seishi Okamoto. polibits, 40:29-38, 2009. [doi]

2008

An Adaptive Algorithm for Splitting Large Sets of Strings and Its Application to Efficient External SortingTatsuya Asai, Seishi Okamoto, Hiroki Arimura. pakdd 2009: 13-25 [doi]

A Fast Boosting-based Learner for Feature-Rich Tagging and ChunkingTomoya Iwakura, Seishi Okamoto. conll 2008: 17-24 [doi]

2007

An Assistant Tool for Concealing Personal Information in TextTomoya Iwakura, Seishi Okamoto. hci 2007: 38-46 [doi]

An Assistant Interface for Finding Query-Related Proper NounsTomoya Iwakura, Kanji Uchino, Seishi Okamoto. kes 2007: 1238-1245 [doi]

2006

RSS Feed Generation from Legacy HTML PagesJun Wang, Kanji Uchino, Tetsuro Takahashi, Seishi Okamoto. apweb 2006: 1071-1082 [doi]

2003

Effects of domain characteristics on instance-based learning algorithmsSeishi Okamoto, Nobuhiro Yugami. TCS, 1(298):207-233, 2003. [doi]

2000

Generalized Average-Case Analyses of the Nearest Neighbor AlgorithmSeishi Okamoto, Nobuhiro Yugami. icml 2000: 695-702

Fast Discovery of Interesting RulesNobuhiro Yugami, Yuiko Ohta, Seishi Okamoto. pakdd 2000: 17-28

1998

Instance Guided Rule InductionNobuhiro Yugami, Yuiko Ohta, Seishi Okamoto. dis 1998: 210-219 [doi]

1997

Theoretical Analysis of Case Retrieval Method Based on Neighborhood of a New ProblemSeishi Okamoto, Nobuhiro Yugami. iccbr 1997: 349-358

An Average-Case Analysis of the k-Nearest Neighbar Classifier for Noisy DomainsSeishi Okamoto, Nobuhiro Yugami. IJCAI 1997: 238-245

1996

Theoretical Analysis of the Nearest Neighbor Classifier in Noisy DomainsSeishi Okamoto, Nobuhiro Yugami. icml 1996: 355-363

1995

An Average-Case Analysis of k-Nearest Neighbor ClassifierSeishi Okamoto, Ken Satoh. iccbr 1995: 253-264

1994

An Average Predictive Accuracy of the Nearest Neighbor ClassifierSeishi Okamoto, Ken Satoh. ewcbr 1995: 101-112

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