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» Error Thresholds in Genetic Algorithms
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JMLR
2006
85views more  JMLR 2006»
13 years 7 months ago
Streamwise Feature Selection
In streamwise feature selection, new features are sequentially considered for addition to a predictive model. When the space of potential features is large, streamwise feature sel...
Jing Zhou, Dean P. Foster, Robert A. Stine, Lyle H...
BMCBI
2007
197views more  BMCBI 2007»
13 years 7 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
IMAGING
2003
13 years 9 months ago
Using Colour to Model Outliers
Computer vision applications are able to model and reconstruct three dimensional scenes from several pictures. In this work, we are interested in the group of algorithm that regis...
David Hasler, Sabine Süsstrunk
CBMS
2003
IEEE
14 years 29 days ago
Automatic Locating the Centromere on Human Chromosome Pictures
Many genetic disorders or possible abnormalities that may occur in the future generations can be predicted through analyzing the shape and morphological characteristics of the chr...
Mehdi Moradi, Seyed Kamaledin Setarehdan, S. R. Gh...
BMCBI
2010
191views more  BMCBI 2010»
13 years 7 months ago
Colonyzer: automated quantification of micro-organism growth characteristics on solid agar
Background: High-throughput screens comparing growth rates of arrays of distinct micro-organism cultures on solid agar are useful, rapid methods of quantifying genetic interaction...
Conor Lawless, Darren J. Wilkinson, Alexander Youn...