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pro vyhledávání: '"Setsuo Ohsuga"'
This volume is an attempt to capture the essence of the state-of-the-art of intelligent agent technology and to identify the new challenges and opportunities that it is or will be facing. The most important feature of the volume is that it emphasizes
Autor:
Setsuo Ohsuga
Publikováno v:
Industrial and Engineering Applications of Artificial Intelligence and Expert Systems ISBN: 9780429332111
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d35688f509b37b3c2d4264c516a5c39f
https://doi.org/10.1201/9780429332111-3
https://doi.org/10.1201/9780429332111-3
This volume includes the proceedings from Proceedings of the Ninth International Conference Fukuoka, Japan, June 4-7, 1996. This work represents a broad spectrum of new ideas in the field of applied artificial intelligence and expert systems, and ser
Autor:
Setsuo Ohsuga
Publikováno v:
Transactions of the Japanese Society for Artificial Intelligence. 19:243-264
Publikováno v:
Pattern Recognition Letters. 24:887-894
This paper describes an application of two rough sets based systems, namely generalized distribution table and rough set (GDT-RS) and rough sets with Boolean reasoning (RSBR) respectively, for mining if-then rules in a meningitis dataset. GDT-RS is a
Autor:
Setsuo Ohsuga, Masao Mukaidono, Kazuyuki Aihara, Shoichi Noguchi, Michio Sugeno, Shun-ichi Amari
Publikováno v:
Journal of Japan Society for Fuzzy Theory and Systems. 14:119-137
Publikováno v:
Knowledge-Based Systems. 14:397-412
This paper presents a hybrid model for rule discovery in real world data with uncertainly and incompleteness. The hybrid model is created by introducing an appropriate relationship between deductive reasoning and stochastic process, and extending the
Publikováno v:
International Journal of Pattern Recognition and Artificial Intelligence. 15:451-473
How to increase both autonomy and versatility of a knowledge discovery system is a core problem and a crucial aspect of KDD (Knowledge Discovery and Data Mining). Within the framework of the KDD process and the GLS (Global Learning Scheme) system rec
Autor:
Setsuo Ohsuga
Publikováno v:
International Journal of Pattern Recognition and Artificial Intelligence. 15:493-525
Problems arising in the near future may grow larger and more complex beyond the human capability for managing them and it is worrying that this can cause trouble for human society. The only possible way to solve this problem is to make computers more