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» Gaussian Process Models of Spatial Aggregation Algorithms
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PKDD
2010
Springer
179views Data Mining» more  PKDD 2010»
13 years 5 months 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
INFOCOM
2005
IEEE
14 years 1 months ago
Connection admission control for flow level QoS in bufferless models
Abstract— Admission control algorithms used in access networks for multiplexed voice sources are typically based on aggregated system characteristics, such as aggregate loss prob...
Sándor Rácz, Tamás Jakabfy, J...

Book
778views
15 years 5 months ago
Gaussian Processes for Machine Learning
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
Carl Edward Rasmussen and Christopher K. I. Willia...
TCSV
2008
148views more  TCSV 2008»
13 years 7 months ago
Modeling Background and Segmenting Moving Objects from Compressed Video
Abstract--Modeling background and segmenting moving objects are significant techniques for video surveillance and other video processing applications. Most existing methods of mode...
Weiqiang Wang, Jie Yang, Wen Gao
DEBU
2010
205views more  DEBU 2010»
13 years 7 months ago
Spatio-Temporal Stream Processing in Microsoft StreamInsight
Microsoft StreamInsight is a platform for developing and deploying streaming applications. StreamInsight embraces a temporal stream model to unify and further enrich query languag...
Mohamed H. Ali, Badrish Chandramouli, Balan Sethu ...