Sciweavers

5263 search results - page 604 / 1053
» Optimization with Extremal Dynamics
Sort
View
183
Voted
AAAI
1997
15 years 8 months ago
Model Minimization in Markov Decision Processes
Many stochastic planning problems can be represented using Markov Decision Processes (MDPs). A difficulty with using these MDP representations is that the common algorithms for so...
Thomas Dean, Robert Givan
215
Voted
CEC
2010
IEEE
15 years 8 months ago
An analysis of massively distributed evolutionary algorithms
Computational science is placing new demands on optimization algorithms as the size of data sets and the computational complexity of scientific models continue to increase. As thes...
Travis J. Desell, David P. Anderson, Malik Magdon-...
SPAA
2010
ACM
15 years 7 months ago
Scheduling to minimize power consumption using submodular functions
We develop logarithmic approximation algorithms for extremely general formulations of multiprocessor multiinterval offline task scheduling to minimize power usage. Here each proce...
Erik D. Demaine, Morteza Zadimoghaddam
204
Voted
BMCBI
2010
151views more  BMCBI 2010»
15 years 7 months ago
Classification of G-protein coupled receptors based on support vector machine with maximum relevance minimum redundancy and gene
Background: Because a priori knowledge about function of G protein-coupled receptors (GPCRs) can provide useful information to pharmaceutical research, the determination of their ...
Zhanchao Li, Xuan Zhou, Zong Dai, Xiaoyong Zou
198
Voted
CORR
2008
Springer
118views Education» more  CORR 2008»
15 years 7 months ago
The price of certainty: "waterslide curves" and the gap to capacity
The classical problem of reliable point-to-point digital communication is to achieve a low probability of error while keeping the rate high and the total power consumption small. ...
Anant Sahai, Pulkit Grover