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BIBE
2010
IEEE
135views Bioinformatics» more  BIBE 2010»
15 years 7 months ago
Finding Dynamic Modules of Biological Regulatory Networks
—Often groups of genes in regulatory networks, also called modules, work collaboratively on similar functions. Mathematically, the modules in a regulatory network has often been ...
Ferhat Ay, Thang N. Dinh, My T. Thai, Tamer Kahvec...
ECAI
2010
Springer
15 years 6 months ago
Variable Level-Of-Detail Motion Planning in Environments with Poorly Predictable Bodies
Motion planning in dynamic environments consists of the generation of a collision-free trajectory from an initial to a goal state. When the environment contains uncertainty, preven...
Stefan Zickler, Manuela M. Veloso
CORR
2006
Springer
154views Education» more  CORR 2006»
15 years 6 months ago
How Hard Is Bribery in Elections?
We study the complexity of influencing elections through bribery: How computationally complex is it for an external actor to determine whether by paying certain voters to change t...
Piotr Faliszewski, Edith Hemaspaandra, Lane A. Hem...
JBI
2008
159views Bioinformatics» more  JBI 2008»
15 years 6 months ago
SEGS: Search for enriched gene sets in microarray data
Gene Ontology (GO) terms are often used to interpret the results of microarray experiments. The most common approach is to perform Fisher's exact tests to find gene sets anno...
Igor Trajkovski, Nada Lavrac, Jakub Tolar
168
Voted
IOR
2006
163views more  IOR 2006»
15 years 6 months ago
Adaptive Importance Sampling Technique for Markov Chains Using Stochastic Approximation
For a discrete-time finite-state Markov chain, we develop an adaptive importance sampling scheme to estimate the expected total cost before hitting a set of terminal states. This s...
T. P. I. Ahamed, Vivek S. Borkar, S. Juneja