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» Genetic Algorithms for Dynamic Test Data Generation
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126
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IDA
2003
Springer
15 years 7 months ago
Learning Dynamic Bayesian Networks from Multivariate Time Series with Changing Dependencies
Abstract. Many examples exist of multivariate time series where dependencies between variables change over time. If these changing dependencies are not taken into account, any mode...
Allan Tucker, Xiaohui Liu
202
Voted
JORS
2010
189views more  JORS 2010»
14 years 9 months ago
Monte Carlo scenario generation for retail loan portfolios
Monte Carlo simulation is a common method for studying the volatility of market traded instruments. It is less employed in retail lending, because of the inherent nonlinearities in...
J. L. Breeden, D. Ingram
KBSE
2005
IEEE
15 years 8 months ago
Automatic test factoring for java
Test factoring creates fast, focused unit tests from slow system-wide tests; each new unit test exercises only a subset of the functionality exercised by the system test. Augmenti...
David Saff, Shay Artzi, Jeff H. Perkins, Michael D...
137
Voted
TCBB
2008
115views more  TCBB 2008»
15 years 2 months ago
Highly Scalable Genotype Phasing by Entropy Minimization
A Single Nucleotide Polymorphism (SNP) is a position in the genome at which two or more of the possible four nucleotides occur in a large percentage of the population. SNPs accoun...
Alexander Gusev, Ion I. Mandoiu, Bogdan Pasaniuc
117
Voted
RECOMB
2010
Springer
15 years 9 months ago
Incremental Signaling Pathway Modeling by Data Integration
Constructing quantitative dynamic models of signaling pathways is an important task for computational systems biology. Pathway model construction is often an inherently incremental...
Geoffrey Koh, David Hsu, P. S. Thiagarajan