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ATAL
2011
Springer
12 years 7 months ago
Metric learning for reinforcement learning agents
A key component of any reinforcement learning algorithm is the underlying representation used by the agent. While reinforcement learning (RL) agents have typically relied on hand-...
Matthew E. Taylor, Brian Kulis, Fei Sha
CPAIOR
2005
Springer
14 years 1 months ago
Mixed Discrete and Continuous Algorithms for Scheduling Airborne Astronomy Observations
We describe the problem of scheduling astronomy observations for the Stratospheric Observatory for Infrared Astronomy, an airborne telescope. The problem requires maximizing the nu...
Jeremy Frank, Elif Kürklü
INFOCOM
2010
IEEE
13 years 6 months ago
Maximum Damage Malware Attack in Mobile Wireless Networks
—Malware attacks constitute a serious security risk that threatens to slow down the large scale proliferation of wireless applications. As a first step towards thwarting this se...
M. H. R. Khouzani, Saswati Sarkar, Eitan Altman
BMCBI
2006
164views more  BMCBI 2006»
13 years 7 months ago
Evaluation of clustering algorithms for gene expression data
Background: Cluster analysis is an integral part of high dimensional data analysis. In the context of large scale gene expression data, a filtered set of genes are grouped togethe...
Susmita Datta, Somnath Datta
TMI
2008
91views more  TMI 2008»
13 years 7 months ago
MRI-Based Automated Computer Classification of Probable AD Versus Normal Controls
Automated computer classification (ACC) techniques are needed to facilitate physician's diagnosis of complex diseases in individual patients. We provide an example of ACC usin...
Simon Duchesne, A. Caroli, C. Geroldi, Christian B...