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CORR
2010
Springer
152views Education» more  CORR 2010»
13 years 8 months ago
Neuroevolutionary optimization
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
Eva Volná
BMCBI
2006
86views more  BMCBI 2006»
13 years 8 months ago
MCALIGN2: Faster, accurate global pairwise alignment of non-coding DNA sequences based on explicit models of indel evolution
Background: Non-coding DNA sequences comprise a very large proportion of the total genomic content of mammals, most other vertebrates, many invertebrates, and most plants. Unravel...
Jun Wang, Peter D. Keightley, Toby Johnson
BMCBI
2006
108views more  BMCBI 2006»
13 years 8 months ago
Probe set algorithms: is there a rational best bet?
Affymetrix microarrays have become a standard experimental platform for studies of mRNA expression profiling. Their success is due, in part, to the multiple oligonucleotide featur...
Jinwook Seo, Eric P. Hoffman
INFFUS
2008
175views more  INFFUS 2008»
13 years 8 months ago
Adaptive optimization of join trees for multi-join queries over sensor streams
Data processing applications for sensor streams have to deal with multiple continuous data streams with inputs arriving at highly variable and unpredictable rates from various sour...
Joseph S. Gomes, Hyeong-Ah Choi
CORR
2007
Springer
160views Education» more  CORR 2007»
13 years 8 months ago
How really effective are Multimodal Hints in enhancing Visual Target Spotting? Some evidence from a usability study
The main aim of the work presented here is to contribute to computer science advances in the multimodal usability area, in-as-much as it addresses one of the major issues relating...
Suzanne Kieffer, Noelle Carbonell
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