Sciweavers

198 search results - page 34 / 40
» Genetic algorithms using low-discrepancy sequences
Sort
View
GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
15 years 11 months ago
Co-evolving recurrent neurons learn deep memory POMDPs
Recurrent neural networks are theoretically capable of learning complex temporal sequences, but training them through gradient-descent is too slow and unstable for practical use i...
Faustino J. Gomez, Jürgen Schmidhuber
EVOW
2010
Springer
15 years 9 months ago
Towards Automated Learning of Object Detectors
Recognizing arbitrary objects in images or video sequences is a difficult task for a computer vision system. We work towards automated learning of object detectors from video seque...
Marc Ebner
BMCBI
2007
156views more  BMCBI 2007»
15 years 5 months ago
Predictive modeling of plant messenger RNA polyadenylation sites
Background: One of the essential processing events during pre-mRNA maturation is the posttranscriptional addition of a polyadenine [poly(A)] tail. The 3'-end poly(A) track pr...
Guoli Ji, Jianti Zheng, Yingjia Shen, Xiaohui Wu, ...
BMCBI
2007
180views more  BMCBI 2007»
15 years 5 months ago
Using expression arrays for copy number detection: an example from E. coli
Background: The sequencing of many genomes and tiling arrays consisting of millions of DNA segments spanning entire genomes have made high-resolution copy number analysis possible...
Dmitriy Skvortsov, Diana Abdueva, Michael E. Stitz...
GECCO
1999
Springer
15 years 10 months ago
An Immune System Approach to Scheduling in Changing Environments
This paper describes the application of an arti cial immune system, AIS, model to a scheduling application, in which sudden changes in the scheduling environment require the rap...
Emma Hart, Peter Ross