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PRESENCE
1998
91views more  PRESENCE 1998»
13 years 6 months ago
Integrating Pedagogical Agents into Virtual Environments
In order for a virtual environment to be effective as a training tool, it is not enough to concentrate on the fidelity of the renderings and the accuracy of the simulated behavior...
W. Lewis Johnson, Jeff Rickel, Randy Stiles, Allen...
TSMC
2002
98views more  TSMC 2002»
13 years 6 months ago
The STAR automaton: expediency and optimality properties
Abstract--We present the STack ARchitecture (STAR) automaton. It is a fixed structure, multiaction, reward-penalty learning automaton, characterized by a star-shaped state transiti...
Anastasios A. Economides, Athanasios Kehagias
JMLR
2010
139views more  JMLR 2010»
13 years 1 months ago
Tempered Markov Chain Monte Carlo for training of Restricted Boltzmann Machines
Alternating Gibbs sampling is the most common scheme used for sampling from Restricted Boltzmann Machines (RBM), a crucial component in deep architectures such as Deep Belief Netw...
Guillaume Desjardins, Aaron C. Courville, Yoshua B...
ICSE
2004
IEEE-ACM
14 years 6 months ago
Architecting and Implementing Versatile Dependability
Distributed applications must often consider and select the appropriate trade-offs among three important aspects ? fault-tolerance, performance and resources. We introduce a novel ...
Tudor Dumitras, Deepti Srivastava, Priya Narasimha...
DDECS
2007
IEEE
102views Hardware» more  DDECS 2007»
14 years 1 months ago
IP Integration Overhead Analysis in System-on-Chip Video Encoder
—Current system-on-chip implementations integrate IP blocks from different vendors. Typical problems are incompatibility and integration overheads. This paper presents a case stu...
Antti Rasmus, Ari Kulmala, Erno Salminen, Timo D. ...