63 search results - page 4 / 13 » Using performance fronts for parameter setting of stochastic... |
CP
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. Machine learning can be utilized to build models that predict the runtime of search algorithms for hard combinatorial problems. Such empirical hardness models have previo...
ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
We study the retrieval task that ranks a set of objects for a given query in the pairwise preference learning framework. Recently researchers found out that raw features (e.g. word...
JPDC
2008
13 years 7 months ago
2008
This research investigates the problem of robust static resource allocation for distributed computing systems operating under imposed Quality of Service (QoS) constraints. Often, ...
BMCBI
2010
13 years 2 months ago
2010
Background: The development, in the last decade, of stochastic heuristics implemented in robust application softwares has made large phylogeny inference a key step in most compara...
ISBI
2006
IEEE
14 years 8 months ago
2006
IEEE
In this paper, the structural parameters of dysplasia formation in the epithelial tissue are estimated using a stochastic decomposition algorithm (SDM) by means of scattered light...