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99
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TNN
1998
112views more  TNN 1998»
15 years 2 months ago
A class of competitive learning models which avoids neuron underutilization problem
— In this paper, we study a qualitative property of a class of competitive learning (CL) models, which is called the multiplicatively biased competitive learning (MBCL) model, na...
Clifford Sze-Tsan Choy, Wan-Chi Siu
113
Voted
NCA
2010
IEEE
15 years 1 months ago
Genetic algorithm-based training for semi-supervised SVM
The Support Vector Machine (SVM) is an interesting classifier with excellent power of generalization. In this paper, we consider applying the SVM to semi-supervised learning. We p...
Mathias M. Adankon, Mohamed Cheriet
IMCSIT
2010
14 years 12 months ago
PSO based modeling of Takagi-Sugeno fuzzy motion controller for dynamic object tracking with mobile platform
Modeling of optimized motion controller is one of the interesting problems in the context of behavior based mobile robotics. Behavior based mobile robots should have an ideal contr...
Meenakshi Gupta, Laxmidhar Behera, Venkatesh K. S.
CDC
2010
IEEE
124views Control Systems» more  CDC 2010»
14 years 9 months ago
Deployment of drifters in a piecewise-constant flow environment
We study a deployment strategy for a group of vehicles that drift in an ambient flow field. Specifically, we address the case where the flow is always greater in magnitude than an ...
Andrew Kwok, Sonia Martínez
120
Voted
AAAI
2012
13 years 5 months ago
Sequential Decision Making with Rank Dependent Utility: A Minimax Regret Approach
This paper is devoted to sequential decision making with Rank Dependent expected Utility (RDU). This decision criterion generalizes Expected Utility and enables to model a wider r...
Gildas Jeantet, Patrice Perny, Olivier Spanjaard