FGCS
2006
13 years 11 months ago
2006
We present a new algorithm for computing the solution of large Markov chain models whose generators can be represented in the form of a generalized tensor algebra, such as network...
FGCS
2006
13 years 11 months ago
2006
We consider a model where commodity service providers are offering commodity computational services to a set of customers. We provide a solution for the efficient distribution of ...
IJHIS
2008
13 years 11 months ago
2008
Meta-Learning has been successfully applied to acquire knowledge used to support the selection of learning algorithms. Each training example in Meta-Learning (i.e. each meta-exampl...
BMCBI
2007
13 years 11 months ago
2007
Background: Unraveling the mechanisms that regulate gene expression is a major challenge in biology. An important task in this challenge is to identify regulatory elements, especi...
IJDMMM
2008
13 years 11 months ago
2008
In recent years, a number of machine learning algorithms have been developed for the problem of ordinal classification. These algorithms try to exploit, in one way or the other, t...
IJCV
2008
13 years 11 months ago
2008
We present a new data set encoding localized semantics for 1014 images and a methodology for using this kind of data for recognition evaluation. This methodology establishes protoc...
IJCV
2008
13 years 11 months ago
2008
This paper describes two algorithms for the real-time segmentation of foreground from background layers in stereo video sequences. Automatic separation of layers from colour/contr...
EOR
2006
13 years 11 months ago
2006
There are many resource restrictions in real production/inventory systems (for example, budget, storage, transportation capacity, etc.). But unlike other research areas, there is ...
IJCGA
2008
13 years 11 months ago
2008
Published as Technical Report LU-CS-TR:2005-238 on February 13, 2006, ISSN 1650-1276 Report 158, Lund University, Sweden 2006 We discuss and compare four fixed parameter algorithm...
EC
2006
13 years 11 months ago
2006
This paper presents GASAT, a hybrid algorithm for the satisfiability problem (SAT). The main feature of GASAT is that it includes a recombination stage based on a specific crossov...