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IJAR
2002
98views more  IJAR 2002»
14 years 9 months ago
Contradiction sensitive fuzzy model-based adaptive control
Fuzzy model-based adaptive control, unlike traditional fuzzy control, extracts expert knowledge from data by using model identification techniques. In this paper, we propose an an...
Pablo Carmona, Juan Luis Castro, Jose Manuel Zurit...
CIMCA
2005
IEEE
15 years 3 months ago
Fuzzy Inference Model for Learning from Experiences and Its Application to Robot Navigation
A fuzzy inference model for learning from experiences (FILE) is proposed. The model can learn from experience data obtained by trial-and-error of a task and it can stably learn fr...
Manabu Gouko, Yoshihiro Sugaya, Hirotomo Aso
TOG
2012
253views Communications» more  TOG 2012»
13 years 4 days ago
Exploring collections of 3D models using fuzzy correspondences
Large collections of 3D models from the same object class (e.g., chairs, cars, animals) are now commonly available via many public repositories, but exploring the range of shape v...
Vladimir G. Kim, Wilmot Li, Niloy J. Mitra, Stephe...
DRR
2003
14 years 11 months ago
Automated labeling of bibliographic data extracted from biomedical online journals
A prototype system has been designed to automate the extraction of bibliographic data (e.g., article title, authors, , affiliation and others) from online biomedical journals to p...
Jongwoo Kim, Daniel X. Le, George R. Thoma
RSCTC
1993
Springer
161views Fuzzy Logic» more  RSCTC 1993»
15 years 1 months ago
Quantifying Uncertainty of Knowledge Discovered From Databases
This paper focuses on the application of rough set constructs to inductive learning from a database. A design guideline is suggested, which provides users the option to choose app...
Yang Xiang, S. K. Michael Wong, Nick Cercone