Seishi Okamoto

23 papers A* 2B 4C 4Misc 1Journal 4Unranked 8
YearRankTypeTitle / Venue / Authors
2014 B conf
An AdaBoost for Efficient Use of Confidences of Weak Hypotheses on Text Categorization.
PRICAI
Tomoya Iwakura, Takahiro Saito, Seishi Okamoto
2014 — conf
Discovery of Areas with Locally Maximal Confidence from Location Data.
DASFAA (1)
Hiroya Inakoshi, Hiroaki Morikawa, Tatsuya Asai, Nobuhiro Yugami, Seishi Okamoto
2012 J jnl
Improving Parse Trees for Efficient Variable-to-Fixed Length Codes.
Inf. Media Technol.
Satoshi Yoshida, Takashi Uemura, Takuya Kida, Tatsuya Asai, Seishi Okamoto
2012 J jnl
Improving Parse Trees for Efficient Variable-to-Fixed Length Codes.
J. Inf. Process.
Satoshi Yoshida, Takashi Uemura, Takuya Kida, Tatsuya Asai, Seishi Okamoto
2010 — conf
Chimera: Stream-Oriented XML Filtering/Querying Engine.
DASFAA (2)
Tatsuya Asai, Shin-ichiro Tago, Hiroya Inakoshi, Seishi Okamoto, Masayuki Takeda
2010 Misc conf
Prediction of social bookmarking based on a behavior transition model.
SAC
Tadanobu Furukawa, Seishi Okamoto, Yutaka Matsuo, Mitsuru Ishizuka
2010 C conf
Training Parse Trees for Efficient VF Coding.
SPIRE
Takashi Uemura, Satoshi Yoshida, Takuya Kida, Tatsuya Asai, Seishi Okamoto
2009 — conf
Facilitating Search through Visualized Results.
HCI (8)
Takahisa Ando, Satoko Shiga, Tomoya Iwakura, Seishi Okamoto
2009 J jnl
Improving Named Entity Extraction Accuracy using Unlabeled Data and Several Extractors (pp. 29-38).
Polibits
Tomoya Iwakura, Seishi Okamoto
2008 B conf
A Fast Boosting-based Learner for Feature-Rich Tagging and Chunking.
CoNLL
Tomoya Iwakura, Seishi Okamoto
2008 — conf
An Adaptive Algorithm for Splitting Large Sets of Strings and Its Application to Efficient External Sorting.
PAKDD Workshops
Tatsuya Asai, Seishi Okamoto, Hiroki Arimura
2007 — conf
An Assistant Interface for Finding Query-Related Proper Nouns.
KES (2)
Tomoya Iwakura, Kanji Uchino, Seishi Okamoto
2007 — conf
An Assistant Tool for Concealing Personal Information in Text.
HCI (9)
Tomoya Iwakura, Seishi Okamoto
2006 C conf
RSS Feed Generation from Legacy HTML Pages.
APWeb
Jun Wang, Kanji Uchino, Tetsuro Takahashi, Seishi Okamoto
2003 J jnl
Effects of domain characteristics on instance-based learning algorithms.
Theor. Comput. Sci.
Seishi Okamoto, Nobuhiro Yugami
2000 B conf
Fast Discovery of Interesting Rules.
PAKDD
Nobuhiro Yugami, Yuiko Ohta, Seishi Okamoto
2000 A* conf
Generalized Average-Case Analyses of the Nearest Neighbor Algorithm.
ICML
Seishi Okamoto, Nobuhiro Yugami
1998 B conf
Instance Guided Rule Induction.
Discovery Science
Nobuhiro Yugami, Yuiko Ohta, Seishi Okamoto
1997 — conf
An Average-Case Analysis of the k-Nearest Neighbar Classifier for Noisy Domains.
IJCAI (1)
Seishi Okamoto, Nobuhiro Yugami
1997 C conf
Theoretical Analysis of Case Retrieval Method Based on Neighborhood of a New Problem.
ICCBR
Seishi Okamoto, Nobuhiro Yugami
1996 A* conf
Theoretical Analysis of the Nearest Neighbor Classifier in Noisy Domains.
ICML
Seishi Okamoto, Nobuhiro Yugami
1995 C conf
An Average-Case Analysis of k-Nearest Neighbor Classifier.
ICCBR
Seishi Okamoto, Ken Satoh
1994 — conf
An Average Predictive Accuracy of the Nearest Neighbor Classifier.
EWCBR
Seishi Okamoto, Ken Satoh