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PKDD
2009
Springer
152views Data Mining» more  PKDD 2009»
15 years 8 months ago
Feature Selection for Value Function Approximation Using Bayesian Model Selection
Abstract. Feature selection in reinforcement learning (RL), i.e. choosing basis functions such that useful approximations of the unkown value function can be obtained, is one of th...
Tobias Jung, Peter Stone
IMC
2009
ACM
15 years 8 months ago
An analysis of packet sampling in the frequency domain
Packet sampling techniques introduce measurement errors that should be carefully handled in order to correctly characterize the network behavior. In the literature several works h...
Luigi Alfredo Grieco, Chadi Barakat
ISLPED
2009
ACM
184views Hardware» more  ISLPED 2009»
15 years 8 months ago
Online work maximization under a peak temperature constraint
Increasing power densities and the high cost of low thermal resistance packages and cooling solutions make it impractical to design processors for worst-case temperature scenarios...
Thidapat Chantem, Xiaobo Sharon Hu, Robert P. Dick
MM
2009
ACM
199views Multimedia» more  MM 2009»
15 years 8 months ago
Signature quadratic form distances for content-based similarity
Determining similarity is a fundamental task in querying multimedia databases in a content-based way. For this challenging task, there exist numerous similarity models which measu...
Christian Beecks, Merih Seran Uysal, Thomas Seidl
MOBICOM
2009
ACM
15 years 8 months ago
Impact of mobility on spectrum sensing in cognitive radio networks
In cognitive radio networks (CRNs), spectrum sensing is key to opportunistic spectrum access while preventing any unacceptable interference to primary users’ communications. Alt...
Alexander W. Min, Kang G. Shin