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» A general algorithm for data dependence analysis
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GECCO
2008
Springer
122views Optimization» more  GECCO 2008»
15 years 3 months ago
Optinformatics for schema analysis of binary genetic algorithms
Given the importance of optimization and informatics which are the two broad fields of research, we present an instance of Optinformatics which denotes the specialization of info...
Minh Nghia Le, Yew-Soon Ong, Quang Huy Nguyen 0001
119
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BMCBI
2006
169views more  BMCBI 2006»
15 years 2 months ago
Comparative analysis of haplotype association mapping algorithms
Background: Finding the genetic causes of quantitative traits is a complex and difficult task. Classical methods for mapping quantitative trail loci (QTL) in miceuse an F2 cross b...
Phillip McClurg, Mathew T. Pletcher, Tim Wiltshire...
134
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KDD
2008
ACM
193views Data Mining» more  KDD 2008»
16 years 3 months ago
A family of dissimilarity measures between nodes generalizing both the shortest-path and the commute-time distances
This work introduces a new family of link-based dissimilarity measures between nodes of a weighted directed graph. This measure, called the randomized shortest-path (RSP) dissimil...
Luh Yen, Marco Saerens, Amin Mantrach, Masashi Shi...
135
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EMNLP
2007
15 years 4 months ago
Bootstrapping Feature-Rich Dependency Parsers with Entropic Priors
One may need to build a statistical parser for a new language, using only a very small labeled treebank together with raw text. We argue that bootstrapping a parser is most promis...
David A. Smith, Jason Eisner
131
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BMCBI
2010
181views more  BMCBI 2010»
15 years 2 months ago
Intensity dependent estimation of noise in microarrays improves detection of differentially expressed genes
Background: In many microarray experiments, analysis is severely hindered by a major difficulty: the small number of samples for which expression data has been measured. When one ...
Amit Zeisel, Amnon Amir, Wolfgang J. Köstler,...