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» Approximate Expectation Maximization
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120
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AAAI
2006
15 years 2 months ago
Action Selection in Bayesian Reinforcement Learning
My research attempts to address on-line action selection in reinforcement learning from a Bayesian perspective. The idea is to develop more effective action selection techniques b...
Tao Wang
115
Voted
CDC
2009
IEEE
208views Control Systems» more  CDC 2009»
15 years 1 months ago
Sensor selection for hypothesis testing in wireless sensor networks: a Kullback-Leibler based approach
We consider the problem of selecting a subset of p out of n sensors for the purpose of event detection, in a wireless sensor network (WSN). Occurrence or not of the event of intere...
Dragana Bajovic, Bruno Sinopoli, João Xavie...
97
Voted
GECCO
2008
Springer
135views Optimization» more  GECCO 2008»
15 years 1 months ago
Context-dependent predictions and cognitive arm control with XCSF
While John Holland has always envisioned learning classifier systems (LCSs) as cognitive systems, most work on LCSs has focused on classification, datamining, and function appro...
Martin V. Butz, Oliver Herbort
122
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SIGMETRICS
2010
ACM
193views Hardware» more  SIGMETRICS 2010»
15 years 26 days ago
Distributed caching over heterogeneous mobile networks
Sharing content over a mobile network through opportunistic contacts has recently received considerable attention. In proposed scenarios, users store content they download in a lo...
Stratis Ioannidis, Laurent Massoulié, Augus...
90
Voted
ALMOB
2008
95views more  ALMOB 2008»
15 years 24 days ago
A stitch in time: Efficient computation of genomic DNA melting bubbles
Background: It is of biological interest to make genome-wide predictions of the locations of DNA melting bubbles using statistical mechanics models. Computationally, this poses th...
Eivind Tøstesen