259 search results - page 32 / 52 » A Hybrid Convergent Method for Learning Probabilistic Networ... |
GLOBECOM
2009
IEEE
14 years 2 months ago
2009
IEEE
Abstract—Wireless sensor networks (WSNs) are usually missioned to gather critical information in hostile and adversarial environments, which make them susceptible to compromise a...
AAAI
2008
13 years 10 months ago
2008
We describe HTN-MAKER, an algorithm for learning hierarchical planning knowledge in the form of decomposition methods for Hierarchical Task Networks (HTNs). HTNMAKER takes as inpu...
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
NN
2007
Springer
13 years 7 months ago
2007
Springer
Reinforcement learning is based on exploration of the environment and receiving reward that indicates which actions taken by the agent are good and which ones are bad. In many app...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
In time-varying wireless networks, the states of the communication channels are subject to random variations, and hence need to be estimated for efficient rate adaptation and sched...