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WSC
2000
13 years 10 months ago
Model abstraction for discrete event systems using neural networks and sensitivity information
STRACTION FOR DISCRETE EVENT SYSTEMS USING NEURAL NETWORKS AND SENSITIVITY INFORMATION Christos G. Panayiotou Christos G. Cassandras Department of Manufacturing Engineering Boston ...
Christos G. Panayiotou, Christos G. Cassandras, We...
AIHC
2007
Springer
14 years 3 months ago
Emotion and Reinforcement: Affective Facial Expressions Facilitate Robot Learning
Computer models can be used to investigate the role of emotion in learning. Here we present EARL, our framework for the systematic study of the relation between emotion, adaptation...
Joost Broekens
SECON
2007
IEEE
14 years 3 months ago
Self-Learning Repeated Game Framework for Distributed Primary-Prioritized Dynamic Spectrum Access
Dynamic spectrum access has become a promising approach to fully utilize the scarce spectrum resources. In a dynamically changing spectrum environment, it is very important to desi...
Beibei Wang, Zhu Ji, K. J. Ray Liu
AMOST
2007
ACM
14 years 1 months ago
Combining test case generation for component and integration testing
When integrating dierent system components, the interaction between dierent features is often error prone. Typically errors occur on interruption, concurrency or disabling/ enabli...
Sebastian Benz
IUI
2005
ACM
14 years 2 months ago
A location representation for generating descriptive walking directions
An expressive representation for location is an important component in many applications. However, while many location-aware applications can reason about space at the level of co...
Gary Look, Buddhika Kottahachchi, Robert Laddaga, ...