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Hidetomo Nabeshima

Papers on DiSC'06


Extracting Frequent Subsequences from a Single Long Data Sequence: A Novel Anti-Monotonic Measure and a Simple On-Line Algorithm

Publications


Note: Links lead to the DBLP on the Web.

Hidetomo Nabeshima

Hidetomo Nabeshima, Hirohito Nozawa , Koji Iwanuma : Effective SAT Planning by Lemma-Reusing. Artificial Intelligence and Applications 2005 : 1-5

Koji Iwanuma , Ryuichi Ishihara , Yo Takano , Hidetomo Nabeshima: Extracting Frequent Subsequences from a Single Long Data Sequence: A Novel Anti-Monotonic Measure and a Simple On-Line Algorithm. ICDM 2005 : 186-193

Koji Iwanuma , Katsumi Inoue , Hidetomo Nabeshima: Upside-Down Transformation in SOL/Connection Tableaux and Its Application. ICTAC 2005 : 166-179

Katsumi Inoue , Hideyuki Bando , Hidetomo Nabeshima: Inducing Causal Laws by Regular Inference. ILP 2005 : 154-171

Katsumi Inoue , Koji Iwanuma , Hidetomo Nabeshima: Consequence Finding in Default Theories. FQAS 2004 : 459-472

Hidetomo Nabeshima, Koji Iwanuma , Katsumi Inoue : SOLAR: A Consequence Finding System for Advanced Reasoning. TABLEAUX 2003 : 257-263

Hidetomo Nabeshima, Koji Iwanuma , Katsumi Inoue : Effective SAT Planning by Speculative Computation. Australian Joint Conference on Artificial Intelligence 2002 : 726-728

Masayuki Umehara , Koji Iwanuma , Hidetomo Nabeshima: A Case-Based Recognition of Semantic Structures in HTML Documents. IDEAL 2002 : 141-147

Hidetomo Nabeshima, Katsumi Inoue , Hiromasa Haneda : Implementing an action language using a SAT solver. ICTAI 2000 : 96-103

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