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» Learning for Dynamic Subsumption
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121
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CDC
2009
IEEE
172views Control Systems» more  CDC 2009»
15 years 7 months ago
Approximate dynamic programming using fluid and diffusion approximations with applications to power management
—TD learning and its refinements are powerful tools for approximating the solution to dynamic programming problems. However, the techniques provide the approximate solution only...
Wei Chen, Dayu Huang, Ankur A. Kulkarni, Jayakrish...
171
Voted
BLISS
2009
IEEE
15 years 3 months ago
Recognition of Dynamic Texture Patterns Using CHLAC Features
In this paper, we propose a statistical scheme for recognizing three-dimensional textures shown in motion images, which we call dynamic textures. The texture characteristics emerg...
Takumi Kobayashi, Tetsuya Higuchi, Tsuneharu Miyaj...
107
Voted
ICALT
2007
IEEE
15 years 9 months ago
The Web 2.0 Driven SECI Model Based Learning Process
Nonaka and his knowledge transformation model SECI revolutionized the thinking about organizations as social learning systems. He introduced technical concepts like hypertext into...
Mohamed Amine Chatti, Ralf Klamma, Matthias Jarke,...
130
Voted
ECTEL
2006
Springer
15 years 6 months ago
Data and Application Integration in Learning Content Management Systems: A Web Services Approach
This paper describes a service-oriented approach for the integration of third-party external applications and resources into an existing open source eLearning environment. We detai...
Ivan Madjarov, Omar Boucelma
141
Voted
NCI
2004
142views Neural Networks» more  NCI 2004»
15 years 4 months ago
A competitive and cooperative learning approach to robust data clustering
This paper presents a new semi-competitive learning paradigm named Competitive and Cooperative Learning (CCL), in which seed points not only compete each other for updating to ada...
Yiu-ming Cheung