Sciweavers

1368 search results - page 251 / 274
» Removing the Genetics from the Standard Genetic Algorithm
Sort
View
BMCBI
2007
197views more  BMCBI 2007»
14 years 9 months ago
Boolean networks using the chi-square test for inferring large-scale gene regulatory networks
Background: Boolean network (BN) modeling is a commonly used method for constructing gene regulatory networks from time series microarray data. However, its major drawback is that...
Haseong Kim, Jae K. Lee, Taesung Park
GPEM
2002
95views more  GPEM 2002»
14 years 9 months ago
On Appropriate Adaptation Levels for the Learning of Gene Linkage
A number of algorithms have been proposed aimed at tackling the problem of learning "Gene Linkage" within the context of genetic optimisation, that is to say, the problem...
James Smith
ICML
2009
IEEE
15 years 10 months ago
Deep transfer via second-order Markov logic
Standard inductive learning requires that training and test instances come from the same distribution. Transfer learning seeks to remove this restriction. In shallow transfer, tes...
Jesse Davis, Pedro Domingos
ICASSP
2010
IEEE
14 years 10 months ago
Sparse Bayesian step-filtering for high-throughput analysis of molecular machine dynamics
Nature has evolved many molecular machines such as kinesin, myosin, and the rotary flagellar motor powered by an ion current from the mitochondria. Direct observation of the step-...
Max A. Little, Nick S. Jones
85
Voted
AINA
2007
IEEE
15 years 4 months ago
Un-biasing the Link Farm Effect in PageRank Computation
Link analysis is a critical component of current Internet search engines' results ranking software, which determines the ordering of query results returned to the user. The o...
Arnon Rungsawang, Komthorn Puntumapon, Bundit Mana...