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» Learning Models of Macrobehavior in Complex Adaptive Systems
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126
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ISNN
2007
Springer
15 years 9 months ago
Recurrent Fuzzy CMAC for Nonlinear System Modeling
Normal fuzzy CMAC neural network performs well because of its fast learning speed and local generalization capability for approximating nonlinear functions. However, it requires hu...
Floriberto Ortiz Rodriguez, Wen Yu, Marco A. Moren...
135
Voted
ICALT
2008
IEEE
15 years 9 months ago
The Role of Emotions in the Design of Personalized Educational Systems
Research on modelling affect and on interfaces adaptation based on affective factors has matured considerably over the past several years, so that designers of educational product...
Zacharias Lekkas, Nikos Tsianos, Panagiotis German...
NIPS
1993
15 years 4 months ago
Computational Elements of the Adaptive Controller of the Human Arm
We consider the problem of how the CNS learns to control dynamics of a mechanical system. By using a paradigm where a subject's hand interacts with a virtual mechanical envir...
Reza Shadmehr, Ferdinando A. Mussa-Ivaldi
119
Voted
COMPLEXITY
2007
93views more  COMPLEXITY 2007»
15 years 3 months ago
Guiding a self-adjusting system through chaos
: We study the parametric controls of self-adjusting systems with numerical models. We investigate the situation where the target dynamics changes slowly and passes through a chaot...
Alfred W. Hübler, Kirstin C. Phelps
124
Voted
CVPR
2010
IEEE
15 years 8 months ago
Adaptive Generic Learning for Face Recognition from a Single Sample per Person
Real-world face recognition systems often have to face the single sample per person (SSPP) problem, that is, only a single training sample for each person is enrolled in the datab...
Yu Su, Shiguang Shan, Xilin Chen, wen Gao