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FLAIRS
2008
15 years 8 months ago
Evolutionary Learning of Dynamic Naive Bayesian Classifiers
Naive Bayesian classifiers work well in data sets with independent attributes. However, they perform poorly when the attributes are dependent or when there are one or more irrelev...
Miguel A. Palacios-Alonso, Carlos A. Brizuela, Lui...
BMCBI
2010
112views more  BMCBI 2010»
15 years 6 months ago
A parameter-adaptive dynamic programming approach for inferring cophylogenies
Background: Coevolutionary systems like hosts and their parasites are commonly used model systems for evolutionary studies. Inferring the coevolutionary history based on given phy...
Daniel Merkle, Martin Middendorf, Nicolas Wieseke
HIPEAC
2011
Springer
14 years 6 months ago
TypeCastor: demystify dynamic typing of JavaScript applications
Dynamic typing is a barrier for JavaScript applications to achieve high performance. Compared with statically typed languages, the major overhead of dynamic typing comes from runt...
Shisheng Li, Buqi Cheng, Xiao-Feng Li
RECOMB
2007
Springer
16 years 6 months ago
An Efficient Method for Dynamic Analysis of Gene Regulatory Networks and in silico Gene Perturbation Experiments
With the increasing availability of experimental data on gene-gene and protein-protein interactions, modeling of gene regulatory networks has gained a special attention lately. To ...
Abhishek Garg, Ioannis Xenarios, Luis Mendoza, Gio...
CASC
2007
Springer
112views Mathematics» more  CASC 2007»
16 years 15 days ago
Polynomial Division Using Dynamic Arrays, Heaps, and Packed Exponent Vectors
A common way of implementing multivariate polynomial multiplication and division is to represent polynomials as linked lists of terms sorted in a term ordering and to use repeated ...
Michael B. Monagan, Roman Pearce