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GECCO
2011
Springer
264views Optimization» more  GECCO 2011»
14 years 10 months ago
Critical factors in the performance of novelty search
Novelty search is a recently proposed method for evolutionary computation designed to avoid the problem of deception, in which the fitness function guides the search process away...
Steijn Kistemaker, Shimon Whiteson
NIPS
1998
15 years 8 months ago
Risk Sensitive Reinforcement Learning
In this paper, we consider Markov Decision Processes (MDPs) with error states. Error states are those states entering which is undesirable or dangerous. We define the risk with re...
Ralph Neuneier, Oliver Mihatsch
BMCBI
2007
181views more  BMCBI 2007»
15 years 7 months ago
Versatile annotation and publication quality visualization of protein complexes using POLYVIEW-3D
Background: Macromolecular visualization as well as automated structural and functional annotation tools play an increasingly important role in the post-genomic era, contributing ...
Aleksey A. Porollo, Jaroslaw Meller
BMCBI
2007
114views more  BMCBI 2007»
15 years 6 months ago
Combination of scoring schemes for protein docking
Background: Docking algorithms are developed to predict in which orientation two proteins are likely to bind under natural conditions. The currently used methods usually consist o...
Philipp Heuser, Dietmar Schomburg
BMCBI
2005
113views more  BMCBI 2005»
15 years 6 months ago
Systematic survey reveals general applicability of "guilt-by-association" within gene coexpression networks
Background: Biological processes are carried out by coordinated modules of interacting molecules. As clustering methods demonstrate that genes with similar expression display incr...
Cecily J. Wolfe, Isaac S. Kohane, Atul J. Butte