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» Using Learning for Approximation in Stochastic Processes
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SIGIR
2003
ACM
15 years 7 months ago
Distributed Web Search as a Stochastic Game
Distributed search systems are an emerging phenomenon in Web search, in which independent topic-specific search engines provide search services, and metasearchers distribute userā...
Rinat Khoussainov, Nicholas Kushmerick
TASE
2008
IEEE
15 years 2 months ago
Stochastic Modeling of an Automated Guided Vehicle System With One Vehicle and a Closed-Loop Path
Abstract--The use of automated guided vehicles (AGVs) in material-handling processes of manufacturing facilities and warehouses isbecomingincreasinglycommon.AcriticaldrawbackofanAG...
Aykut F. Kahraman, Abhijit Gosavi, Karla J. Oty
SEKE
2004
Springer
15 years 7 months ago
Supporting the Requirements Prioritization Process. A Machine Learning approach
Requirements prioritization plays a key role in the requirements engineering process, in particular with respect to critical tasks such as requirements negotiation and software re...
Paolo Avesani, Cinzia Bazzanella, Anna Perini, Ang...
ICASSP
2011
IEEE
14 years 6 months ago
Reinforcement learning for energy-efficient wireless transmission
We consider the problem of energy-efficient point-to-point transmission of delay-sensitive data (e.g. multimedia data) over a fading channel. We propose a rigorous and unified fra...
Nicholas Mastronarde, Mihaela van der Schaar
166
Voted
PKDD
2010
Springer
179views Data Mining» more  PKDD 2010»
15 years 10 days ago
Gaussian Processes for Sample Efficient Reinforcement Learning with RMAX-Like Exploration
Abstract. We present an implementation of model-based online reinforcement learning (RL) for continuous domains with deterministic transitions that is specifically designed to achi...
Tobias Jung, Peter Stone