Seishi Okamoto

According to our database1, Seishi Okamoto authored at least 22 papers between 1994 and 2014.

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Bibliography

2014
An AdaBoost for Efficient Use of Confidences of Weak Hypotheses on Text Categorization.
Proceedings of the PRICAI 2014: Trends in Artificial Intelligence, 2014

Discovery of Areas with Locally Maximal Confidence from Location Data.
Proceedings of the Database Systems for Advanced Applications, 2014

2012
Improving Parse Trees for Efficient Variable-to-Fixed Length Codes.
J. Inf. Process., 2012

2010
Training Parse Trees for Efficient VF Coding.
Proceedings of the String Processing and Information Retrieval, 2010

Prediction of social bookmarking based on a behavior transition model.
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

Chimera: Stream-Oriented XML Filtering/Querying Engine.
Proceedings of the Database Systems for Advanced Applications, 2010

2009
Improving Named Entity Extraction Accuracy using Unlabeled Data and Several Extractors (pp. 29-38).
Polibits, 2009

Facilitating Search through Visualized Results.
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.
Proceedings of the New Frontiers in Applied Data Mining, 2008

A Fast Boosting-based Learner for Feature-Rich Tagging and Chunking.
Proceedings of the Twelfth Conference on Computational Natural Language Learning, 2008

2007
An Assistant Interface for Finding Query-Related Proper Nouns.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

An Assistant Tool for Concealing Personal Information in Text.
Proceedings of the Human Interface and the Management of Information. Interacting in Information Environments, 2007

2006
RSS Feed Generation from Legacy HTML Pages.
Proceedings of the Frontiers of WWW Research and Development, 2006

2003
Effects of domain characteristics on instance-based learning algorithms.
Theor. Comput. Sci., 2003

2000
Fast Discovery of Interesting Rules.
Proceedings of the Knowledge Discovery and Data Mining, 2000

Generalized Average-Case Analyses of the Nearest Neighbor Algorithm.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

1998
Instance Guided Rule Induction.
Proceedings of the Discovery Science, 1998

1997
An Average-Case Analysis of the k-Nearest Neighbar Classifier for Noisy Domains.
Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 1997

Theoretical Analysis of Case Retrieval Method Based on Neighborhood of a New Problem.
Proceedings of the Case-Based Reasoning Research and Development, 1997

1996
Theoretical Analysis of the Nearest Neighbor Classifier in Noisy Domains.
Proceedings of the Machine Learning, 1996

1995
An Average-Case Analysis of k-Nearest Neighbor Classifier.
Proceedings of the Case-Based Reasoning Research and Development, 1995

1994
An Average Predictive Accuracy of the Nearest Neighbor Classifier.
Proceedings of the Advances in Case-Based Reasoning, Second European Workshop, 1994


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