Search Results - "Thawonmas, R."

A fuzzy classifier with ellipsoidal regions by Abe, S., Thawonmas, R.

“…In this paper, we discuss a fuzzy classifier with ellipsoidal regions which has a learning capability. First, we divide the training data for each class into…”
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Monte Carlo Tree Search for Collaboration Control of Ghosts in Ms. Pac-Man by Kien Quang Nguyen, Thawonmas, R.

“…In this paper, we present an application of Monte Carlo tree search (MCTS) to control ghosts in the game called Ms. Pac-Man. Our proposed ghost team consists…”
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Blind extraction of source signals with specified stochastic features by Thawonmas, R., Cichocki, A.

“…We present a neural-network approach which allows sequential extraction of source signals from a linear mixture of multiple sources in the order determined by…”
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Function approximation based on fuzzy rules extracted from partitioned numerical data by Thawonmas, R., Abe, S.

“…We present an efficient method for extracting fuzzy rules directly from numerical input-output data for function approximation problems. First, we convert a…”
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A novel approach to feature selection based on analysis of class regions by Thawonmas, R., Abe, S.

“…This paper presents a novel approach to feature selection based on analysis of class regions which are generated by a fuzzy classifier. A measure for feature…”
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Rule acquisition based on hyperbox representation and its applications by Thawonmas, R., Abe, S.

“…This paper gives introduction to four knowledge acquisition systems that use hyperboxes to represent knowledge. Hyperbox representation is interesting because…”
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On-line algorithm for blind signal extraction of arbitrarily distributed, but temporally correlated sources using second order statistics by CICHOCKI, Andrzej, THAWONMAS, Ruck

“…Most of the algorithms for blind separation/extraction and independent component analysis (ICA) can not separate mixtures of sources with extremely low…”
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Feature reduction based on analysis of fuzzy regions by Thawonmas, R., Abe, S.

“…In this paper a novel approach to feature reduction is proposed, based on analysis of class regions generated by a fuzzy classifier. It is shown how the degree…”
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A fuzzy classifier with ellipsoidal regions for diagnosis problems by Abe, S., Thawonmas, R., Kayama, M.

“…In our previous work, we developed a fuzzy classifier with ellipsoidal regions that has a training capability. In this paper, we extend the fuzzy classifier to…”
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Feature selection by analyzing class regions approximated by ellipsoids by Abe, S., Thawonmas, R., Kobayashi, Y.

“…In their previous work, the authors have developed a method for selecting features based on the analysis of class regions approximated by hyperboxes. They…”
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Tuning of a fuzzy classifier derived from data by Abe, S., Lan, M.-S., Thawonmas, R.

“…In our previous work (S. Abe and M.S. Lan, 1993), we developed a method for extracting fuzzy rules directly from numerical data for pattern classification. The…”
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Robust independent component analysis algorithms for projection pursuit by Thawonmas, R., Cao, J.

“…This paper presents the derivation of batch-mode neural algorithms which seek to robustly identify interesting projections of high dimensional data. The new…”
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Applying Monte-Carlo Tree Search to collaboratively controlling of a Ghost Team in Ms Pac-Man by Kien Quang Nguyen, Thawonmas, R.

“…We present an application of Monte-Carlo Tree Search (MCTS) to controlling ghosts in the game of Ms Pac-Man. We approach the problem by performing MCTS on each…”
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Frame selection using iterative grammatical evolution for automatic comic generation from game logs by Thawonmas, R., Tani, Y.

“…Recently, we developed a system that visualizes a game play, from its game log, with a comic-style representation. In that system, comic frames are selected…”
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Tuning of a fuzzy classifier derived from data by Abe, Shigeo, Lan, Ming-Shong, Thawonmas, Ruck

“…In our previous work we developed a method for extracting fuzzy rules directly from numerical data for pattern classification. The performance of the fuzzy…”
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A Content Management System for User-Driven Museums in Second life by Sookhanaphibarn, K., Thawonmas, R.

“…Over two decades, a great expectation on digital museums has been addressed but most of them have been implemented based on web technologies. Emerging Second…”
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Believable judge bot that learns to select tactics and judge opponents by Thawonmas, R., Murakami, S., Sato, T.

“…This paper describes our believable judge bot ICE-CIG2011 that has an ability to learn tactics from a judge player and an ability to judge an opponent…”
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Monte-Carlo planning for unit control in StarCraft by Zhe Wang, Kien Quang Nguyen, Thawonmas, R., Rinaldo, F.

“…This paper presents an application of Monte-Carlo planning (MCPlan) to controlling units in a RTS game StarCraft. We apply an ε - greedy algorithm to model the…”
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A Framework for Design and Evaluation of Digital Museums in Second Life as Learning Institutions by Sookhanaphibarn, K., Thawonmas, R.

“…Over two decades, a great expectation on digital museums has been addressed, but most implementation platform has been Web technologies. Emerging second life…”
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A hybrid Differential Evolution method and its application to the physical travelling salesman problem by Bang Le Hai, Ashida, T., Thawonmas, R., Rinaldo, F.

“…Differential Evolution (DE) is a simple and efficient evolutionary algorithm for optimization problems over continuous space. A variant of DE is the Down-hill…”
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