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» Toward Optimal Feature Selection
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ATAL
2011
Springer
14 years 1 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
321
Voted
RECOMB
2012
Springer
13 years 4 months ago
Estimating the Accuracy of Multiple Alignments and its Use in Parameter Advising
We develop a novel and general approach to estimating the accuracy of protein multiple sequence alignments without knowledge of a reference alignment, and use our approach to addre...
Dan F. DeBlasio, Travis J. Wheeler, John D. Kececi...
BROADNETS
2006
IEEE
15 years 8 months ago
Distributed Job Scheduling based on Multiple Constraints Anycast Routing
— As the popularity of resource-constrained devices such as hand-held computers increases, a new network service offloading complex processing tasks towards computational resour...
Tim Stevens, Marc De Leenheer, Filip De Turck, Bar...
SAC
2004
ACM
15 years 7 months ago
Integrating similarity-based queries in image DBMSs
Until recently, issues in image retrieval have been handled in DBMSs and in computer vision as separate research works. Nowadays, the trend is towards integrating the two approach...
Solomon Atnafu, Richard Chbeir, David Coquil, Lion...
129
Voted
BMCBI
2007
145views more  BMCBI 2007»
15 years 1 months ago
Improved benchmarks for computational motif discovery
Background: An important step in annotation of sequenced genomes is the identification of transcription factor binding sites. More than a hundred different computational methods h...
Geir Kjetil Sandve, Osman Abul, Vegard Walseng, Fi...