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2010 – 2019
- 2014
[c19]Hiroya Inakoshi, Hiroaki Morikawa, Tatsuya Asai, Nobuhiro Yugami, Seishi Okamoto:
Discovery of Areas with Locally Maximal Confidence from Location Data. DASFAA (1) 2014: 47-61- [c18]Tomoya Iwakura, Takahiro Saitou, Seishi Okamoto:
An AdaBoost for Efficient Use of Confidences of Weak Hypotheses on Text Categorization. PRICAI 2014: 782-794 - 2012
- [j4]Satoshi Yoshida, Takashi Uemura, Takuya Kida, Tatsuya Asai, Seishi Okamoto:
Improving Parse Trees for Efficient Variable-to-Fixed Length Codes. Inf. Media Technol. 7(1): 129-140 (2012) - [j3]Satoshi Yoshida, Takashi Uemura, Takuya Kida, Tatsuya Asai, Seishi Okamoto:
Improving Parse Trees for Efficient Variable-to-Fixed Length Codes. J. Inf. Process. 20(1): 238-249 (2012) - 2010
- [c17]Tatsuya Asai, Shin-ichiro Tago, Hiroya Inakoshi, Seishi Okamoto, Masayuki Takeda:
Chimera: Stream-Oriented XML Filtering/Querying Engine. DASFAA (2) 2010: 380-391 - [c16]Tadanobu Furukawa, Seishi Okamoto, Yutaka Matsuo, Mitsuru Ishizuka:
Prediction of social bookmarking based on a behavior transition model. SAC 2010: 1741-1747 - [c15]Takashi Uemura, Satoshi Yoshida, Takuya Kida, Tatsuya Asai, Seishi Okamoto:
Training Parse Trees for Efficient VF Coding. SPIRE 2010: 179-184
2000 – 2009
- 2009
- [j2]Tomoya Iwakura, Seishi Okamoto:
Improving Named Entity Extraction Accuracy using Unlabeled Data and Several Extractors (pp. 29-38). Polibits 40: 29-38 (2009) - [c14]Takahisa Ando, Satoko Shiga, Tomoya Iwakura, Seishi Okamoto:
Facilitating Search through Visualized Results. HCI (8) 2009: 339-344 - 2008
- [c13]Tomoya Iwakura, Seishi Okamoto:
A Fast Boosting-based Learner for Feature-Rich Tagging and Chunking. CoNLL 2008: 17-24 - [c12]Tatsuya Asai, Seishi Okamoto, Hiroki Arimura:
An Adaptive Algorithm for Splitting Large Sets of Strings and Its Application to Efficient External Sorting. PAKDD Workshops 2008: 13-25 - 2007
- [c11]Tomoya Iwakura, Seishi Okamoto:
An Assistant Tool for Concealing Personal Information in Text. HCI (9) 2007: 38-46 - [c10]Tomoya Iwakura, Kanji Uchino, Seishi Okamoto:
An Assistant Interface for Finding Query-Related Proper Nouns. KES (2) 2007: 1238-1245 - 2006
- [c9]Jun Wang, Kanji Uchino, Tetsuro Takahashi, Seishi Okamoto:
RSS Feed Generation from Legacy HTML Pages. APWeb 2006: 1071-1082 - 2003
- [j1]Seishi Okamoto, Nobuhiro Yugami:
Effects of domain characteristics on instance-based learning algorithms. Theor. Comput. Sci. 298(1): 207-233 (2003) - 2000
- [c8]Seishi Okamoto, Nobuhiro Yugami:
Generalized Average-Case Analyses of the Nearest Neighbor Algorithm. ICML 2000: 695-702 - [c7]Nobuhiro Yugami, Yuiko Ohta, Seishi Okamoto:
Fast Discovery of Interesting Rules. PAKDD 2000: 17-28
1990 – 1999
- 1998
- [c6]Nobuhiro Yugami, Yuiko Ohta, Seishi Okamoto:
Instance Guided Rule Induction. Discovery Science 1998: 210-219 - 1997
- [c5]Seishi Okamoto, Nobuhiro Yugami:
Theoretical Analysis of Case Retrieval Method Based on Neighborhood of a New Problem. ICCBR 1997: 349-358 - [c4]Seishi Okamoto, Nobuhiro Yugami:
An Average-Case Analysis of the k-Nearest Neighbar Classifier for Noisy Domains. IJCAI (1) 1997: 238-245 - 1996
- [c3]Seishi Okamoto, Nobuhiro Yugami:
Theoretical Analysis of the Nearest Neighbor Classifier in Noisy Domains. ICML 1996: 355-363 - 1995
- [c2]Seishi Okamoto, Ken Satoh:
An Average-Case Analysis of k-Nearest Neighbor Classifier. ICCBR 1995: 253-264 - 1994
- [c1]Seishi Okamoto, Ken Satoh:
An Average Predictive Accuracy of the Nearest Neighbor Classifier. EWCBR 1994: 101-112
Coauthor Index
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