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AI
1998
Springer
14 years 9 months ago
Model-Based Average Reward Reinforcement Learning
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Prasad Tadepalli, DoKyeong Ok
COMCOM
2008
104views more  COMCOM 2008»
14 years 9 months ago
A network-assisted mobile VPN for securing users data in UMTS
This paper proposes a network-assisted mobile Virtual Private Network (mVPN) security scheme that provides secure remote access to corporate resources over the Universal Mobile Te...
Christos Xenakis, Christoforos Ntantogian, Ioannis...
85
Voted
SAC
2008
ACM
14 years 9 months ago
Local linear regression with adaptive orthogonal fitting for the wind power application
For short-term forecasting of wind generation, a necessary step is to model the function for the conversion of meteorological variables (mainly wind speed) to power production. Su...
Pierre Pinson, Henrik Aalborg Nielsen, Henrik Mads...
FUIN
2010
136views more  FUIN 2010»
14 years 7 months ago
Modeling Biology using Generic Reactive Animation
Abstract. Complex biological systems involve incorporated behaviors of numerous processes, mechanisms and objects. However, experimental analysis, by its nature, divides biological...
Yaki Setty, Irun R. Cohen, David Harel
CN
2010
121views more  CN 2010»
14 years 6 months ago
Probabilistic flooding for efficient information dissemination in random graph topologies
Probabilistic flooding has been frequently considered as a suitable dissemination information approach for limiting the large message overhead associated with traditional (full) f...
Konstantinos Oikonomou, Dimitrios Kogias, Ioannis ...