Sciweavers

Share
HIS
2003
9 years 13 days ago
On a Set Theory With Uncertain Membership Relations
We logically model uncertainty by expanding language without changing logical reasoning rules. We expand the language of set theory by adding new predicate symbols, uncertain membe...
Shunsuke Yatabe, Yuzuru Kakuda, Makoto Kikuchi
HIS
2003
9 years 13 days ago
PDGA: the Primal-Dual Genetic Algorithm
Abstract. Genetic algorithms (GAs) are a class of search algorithms based on principles of natural evolution. Hence, incorporating mechanisms used in nature may improve the perform...
Shengxiang Yang
HIS
2003
9 years 13 days ago
Evolving Better Stoplists for Document Clustering and Web Intelligence
: Text classification, document clustering and similar document analysis tasks are currently the subject of significant global research, since such areas underpin web intelligence,...
Mark P. Sinka, David Corne
HIS
2003
9 years 13 days ago
Decision Support Systems Using Hybrid Neurocomputing
This paper suggests a decision support system for tactical air combat environment where not much prior information is available about the decision regions. We proposed a combinati...
Cong Tran, Ajith Abraham, Lakhmi C. Jain
HIS
2003
9 years 13 days ago
Concurrent Application of Genetic Algorithm in Pattern Recognition
Abstract. This paper proposes the fitness control procedure for the application of genetic algorithms (GA) in pattern recognition. Instead of using GA to solve a concomitant optim...
Mario Köppen, Evgenia Dimitriadou
HIS
2003
9 years 13 days ago
Cooperative Transportation by Humanoid Robots: Learning to Correct Positioning
In this paper, we describe a cooperative transportation problem with two humanoid robots and introduce a machine learning approach to solving the problem. The difficulty of the ta...
Yutaka Inoue, Takahiro Tohge, Hitoshi Iba
HIS
2003
9 years 13 days ago
On the Performance of Ant-based Clustering
Ant-based clustering and sorting is a nature-inspired heuristic for general clustering tasks. It has been applied variously, from problems arising in commerce, to circuit design, t...
Julia Handl, Joshua D. Knowles, Marco Dorigo
HIS
2003
9 years 13 days ago
A Hybrid Approach for Learning Parameters of Probabilistic Networks from Incomplete Databases
– Probabilistic Inference Networks are becoming increasingly popular for modeling and reasoning in uncertain domains. In the past few years, many efforts have been made in learni...
S. Haider
books