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» Plausible Environment Reconstruction Using Bayesian Networks
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JIB
2010
149views more  JIB 2010»
14 years 6 months ago
Visualization and Analysis of a Cardio Vascular Disease- and MUPP1-related Biological Network combining Text Mining and Data War
t techniques to create such a network associated with an abstract cell environment is discussed in order to gain insights into the functional as well as spatial interrelationships....
Björn Sommer, Evgeny S. Tiys, Benjamin Kormei...
CN
2007
117views more  CN 2007»
14 years 11 months ago
Secure multicast in dynamic environments
A secure multicast framework should only allow authorized members of a group to decrypt received messages; usually, one ‘‘group key’’ is shared by all approved members. Ho...
Chun-Ying Huang, Yun-Peng Chiu, Kuan-Ta Chen, Chin...
IWANN
1999
Springer
15 years 4 months ago
Using Temporal Neighborhoods to Adapt Function Approximators in Reinforcement Learning
To avoid the curse of dimensionality, function approximators are used in reinforcement learning to learn value functions for individual states. In order to make better use of comp...
R. Matthew Kretchmar, Charles W. Anderson
84
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CIMCA
2005
IEEE
15 years 5 months ago
OntoBayes: An Ontology-Driven Uncertainty Model
— This paper describes an ontology-driven model, which integrates Bayesian Networks (BN) into the Ontology Web Language (OWL) to preserve the advantages of both. This model makes...
Yi Yang, Jacques Calmet
ISM
2008
IEEE
159views Multimedia» more  ISM 2008»
14 years 11 months ago
Adaptive Modeling of a User's Daily Life with a Wearable Sensor Network
In an environment where the contexts of users are complex and the degree of freedom of user activity is very high, such as in daily life, several factors need to be considered for...
Hyoungnyoun Kim, Ig-Jae Kim, Hyoung-Gon Kim, Ji-Hy...