Seishi Okamoto

According to our database, Seishi Okamoto authored at least 22 papers between 1994 and 2014.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2014

An AdaBoost for Efficient Use of Confidences of Weak Hypotheses on Text Categorization.

Tomoya Iwakura, Takahiro Saitou, Seishi Okamoto

Proceedings of the PRICAI 2014: Trends in Artificial Intelligence, 2014

Discovery of Areas with Locally Maximal Confidence from Location Data.

Hiroya Inakoshi, Hiroaki Morikawa, Tatsuya Asai, Nobuhiro Yugami, Seishi Okamoto

Proceedings of the Database Systems for Advanced Applications, 2014

2012

Improving Parse Trees for Efficient Variable-to-Fixed Length Codes.

Satoshi Yoshida, Takashi Uemura, Takuya Kida, Tatsuya Asai, Seishi Okamoto

J. Inf. Process., 2012

2010

Training Parse Trees for Efficient VF Coding.

Takashi Uemura, Satoshi Yoshida, Takuya Kida, Tatsuya Asai, Seishi Okamoto

Proceedings of the String Processing and Information Retrieval, 2010

Prediction of social bookmarking based on a behavior transition model.

Tadanobu Furukawa, Seishi Okamoto, Yutaka Matsuo, Mitsuru Ishizuka

Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

Chimera: Stream-Oriented XML Filtering/Querying Engine.

Tatsuya Asai, Shin-ichiro Tago, Hiroya Inakoshi, Seishi Okamoto, Masayuki Takeda

Proceedings of the Database Systems for Advanced Applications, 2010

2009

Improving Named Entity Extraction Accuracy using Unlabeled Data and Several Extractors (pp. 29-38).

Tomoya Iwakura, Seishi Okamoto

Polibits, 2009

Facilitating Search through Visualized Results.

Takahisa Ando, Satoko Shiga, Tomoya Iwakura, Seishi Okamoto

Proceedings of the Human Interface and the Management of Information. Designing Information Environments, 2009

2008

An Adaptive Algorithm for Splitting Large Sets of Strings and Its Application to Efficient External Sorting.

Tatsuya Asai, Seishi Okamoto, Hiroki Arimura

Proceedings of the New Frontiers in Applied Data Mining, 2008

A Fast Boosting-based Learner for Feature-Rich Tagging and Chunking.

Tomoya Iwakura, Seishi Okamoto

Proceedings of the Twelfth Conference on Computational Natural Language Learning, 2008

2007

An Assistant Interface for Finding Query-Related Proper Nouns.

Tomoya Iwakura, Kanji Uchino, Seishi Okamoto

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

An Assistant Tool for Concealing Personal Information in Text.

Tomoya Iwakura, Seishi Okamoto

Proceedings of the Human Interface and the Management of Information. Interacting in Information Environments, 2007

2006

RSS Feed Generation from Legacy HTML Pages.

Jun Wang, Kanji Uchino, Tetsuro Takahashi, Seishi Okamoto

Proceedings of the Frontiers of WWW Research and Development, 2006

2003

Effects of domain characteristics on instance-based learning algorithms.

Seishi Okamoto, Nobuhiro Yugami

Theor. Comput. Sci., 2003

2000

Fast Discovery of Interesting Rules.

Nobuhiro Yugami, Yuiko Ohta, Seishi Okamoto

Proceedings of the Knowledge Discovery and Data Mining, 2000

Generalized Average-Case Analyses of the Nearest Neighbor Algorithm.

Seishi Okamoto, Nobuhiro Yugami

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

1998

Instance Guided Rule Induction.

Nobuhiro Yugami, Yuiko Ohta, Seishi Okamoto

Proceedings of the Discovery Science, 1998

1997

An Average-Case Analysis of the k-Nearest Neighbar Classifier for Noisy Domains.

Seishi Okamoto, Nobuhiro Yugami

Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 1997

Theoretical Analysis of Case Retrieval Method Based on Neighborhood of a New Problem.

Seishi Okamoto, Nobuhiro Yugami

Proceedings of the Case-Based Reasoning Research and Development, 1997

1996

Theoretical Analysis of the Nearest Neighbor Classifier in Noisy Domains.

Seishi Okamoto, Nobuhiro Yugami

Proceedings of the Machine Learning, 1996

1995

An Average-Case Analysis of k-Nearest Neighbor Classifier.

Seishi Okamoto, Ken Satoh

Proceedings of the Case-Based Reasoning Research and Development, 1995

1994

An Average Predictive Accuracy of the Nearest Neighbor Classifier.

Seishi Okamoto, Ken Satoh

Proceedings of the Advances in Case-Based Reasoning, Second European Workshop, 1994