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108
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CORR
2010
Springer
152views Education» more  CORR 2010»
15 years 20 days 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
109
Voted
DEBU
2008
186views more  DEBU 2008»
15 years 19 days ago
A Survey of Collaborative Recommendation and the Robustness of Model-Based Algorithms
The open nature of collaborative recommender systems allows attackers who inject biased profile data to have a significant impact on the recommendations produced. Standard memory-...
Jeff J. Sandvig, Bamshad Mobasher, Robin D. Burke
104
Voted
ADHOC
2006
116views more  ADHOC 2006»
15 years 19 days ago
Efficient clustering algorithms for self-organizing wireless sensor networks
Self-organization of wireless sensor networks, which involves network decomposition into connected clusters, is a challenging task because of the limited bandwidth and energy reso...
Rajesh Krishnan, David Starobinski
BMCBI
2006
126views more  BMCBI 2006»
15 years 19 days ago
A joint model of regulatory and metabolic networks
Background: Gene regulation and metabolic reactions are two primary activities of life. Although many works have been dedicated to study each system, the coupling between them is ...
Chen-Hsiang Yeang, Martin Vingron
114
Voted
BMCBI
2006
92views more  BMCBI 2006»
15 years 19 days ago
A jumping profile Hidden Markov Model and applications to recombination sites in HIV and HCV genomes
Background: Jumping alignments have recently been proposed as a strategy to search a given multiple sequence alignment A against a database. Instead of comparing a database sequen...
Anne-Kathrin Schultz, Ming Zhang, Thomas Leitner, ...