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» Using Bayesian Networks to Model Agent Relationships
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AAAI
2006
14 years 11 months ago
Using Homomorphisms to Transfer Options across Continuous Reinforcement Learning Domains
We examine the problem of Transfer in Reinforcement Learning and present a method to utilize knowledge acquired in one Markov Decision Process (MDP) to bootstrap learning in a mor...
Vishal Soni, Satinder P. Singh
FGCN
2008
IEEE
196views Communications» more  FGCN 2008»
15 years 4 months ago
SS-RBAC: Secure Query Processing Model for Semantic Sensor Networks
This paper proposes a novel secure query processing model for semantic sensor networks. A semantic sensor network (SSN) is a sensor network which includes semantics of sensory dat...
Dongwon Jeong, Hyejin Jeong, Young-Sik Jeong
WSC
1998
14 years 11 months ago
Integrating Neural Networks with Special Purpose Simulation
Traditional methods of dealing with variability in simulation input data are mainly stochastic. This is most often the best method to use if the factors affecting the variation or...
Dany Hajjar, Simaan M. AbouRizk, Kevin Mather
FSS
2008
108views more  FSS 2008»
14 years 10 months ago
A collaborative recommender system based on probabilistic inference from fuzzy observations
The problem of building recommender systems has attracted considerable attention in recent years. The objective of this paper is to automatically suggest and rank a list of new it...
Luis M. de Campos, Juan M. Fernández-Luna, ...
ACSAC
2002
IEEE
15 years 3 months ago
Networking in The Solar Trust Model: Determining Optimal Trust Paths in a Decentralized Trust Network
The Solar Trust Model provides a method by which the sender of a message can be authenticated, and the level of trust that can be placed in the sender of the message or the messag...
Michael Clifford