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CCGRID
2008
IEEE
16 years 1 months ago
Grid Differentiated Services: A Reinforcement Learning Approach
—Large scale production grids are a major case for autonomic computing. Following the classical definition of Kephart, an autonomic computing system should optimize its own beha...
Julien Perez, Cécile Germain-Renaud, Bal&aa...
CCGRID
2005
IEEE
16 years 10 days ago
Semantic search of learning services in a grid-based collaborative system
CSCL systems can benefit from using a grid, since it offers a common infrastructure allowing an extended pool of resources that can provide supercomputing capabilities as well as...
Guillermo Vega-Gorgojo, Miguel L. Bote-Lorenzo, Ed...
MICAI
2005
Springer
16 years 6 days ago
Modelling Human Intelligence: A Learning Mechanism
We propose a novel, high-level model of human learning and cognition, based on association forming. The model configures any input data stream featuring a high incidence of repeti...
Enrique Carlos Segura, Robin W. Whitty
SETN
2004
Springer
16 years 2 days ago
Incremental Mixture Learning for Clustering Discrete Data
Abstract. This paper elaborates on an efficient approach for clustering discrete data by incrementally building multinomial mixture models through likelihood maximization using the...
Konstantinos Blekas, Aristidis Likas
SIGGRAPH
2003
ACM
15 years 12 months ago
Learning controls for blend shape based realistic facial animation
Blend shape animation is the method of choice for keyframe facial animation: a set of blend shapes (key facial expressions) are used to define a linear space of facial expression...
Pushkar Joshi, Wen C. Tien, Mathieu Desbrun, Frede...