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» Fast performance prediction for periodic task systems
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GECCO
2010
Springer
153views Optimization» more  GECCO 2010»
13 years 11 months ago
Multi-task evolutionary shaping without pre-specified representations
Shaping functions can be used in multi-task reinforcement learning (RL) to incorporate knowledge from previously experienced tasks to speed up learning on a new task. So far, rese...
Matthijs Snel, Shimon Whiteson
BSN
2009
IEEE
121views Sensor Networks» more  BSN 2009»
14 years 3 months ago
Using Heart Rate Monitors to Detect Mental Stress
— This article describes an approach to detecting mental stress using unobtrusive wearable sensors. The approach relies on estimating the state of the autonomic nervous system fr...
Jongyoon Choi, Ricardo Gutierrez-Osuna
RECSYS
2009
ACM
14 years 3 months ago
Using a trust network to improve top-N recommendation
Top-N item recommendation is one of the important tasks of recommenders. Collaborative filtering is the most popular approach to building recommender systems which can predict ra...
Mohsen Jamali, Martin Ester
CCGRID
2003
IEEE
14 years 1 months ago
GridFlow: Workflow Management for Grid Computing
Grid computing is becoming a mainstream technology for large-scale distributed resource sharing and system integration. Workflow management is emerging as one of the most importan...
Junwei Cao, Stephen A. Jarvis, Subhash Saini, Grah...
SIGOPSE
2000
ACM
14 years 25 days ago
Congestion prices as feedback signals: an approach to QoS management
Recently there has been a renewed interest in the application of economic models to the management of computational resources. Most of this interest is focused on pricing models f...
Rolf Neugebauer, Derek McAuley