2712 search results - page 55 / 543 » On learning algorithm selection for classification |
BMCBI
2006
13 years 9 months ago
2006
Background: Selection of relevant genes for sample classification is a common task in most gene expression studies, where researchers try to identify the smallest possible set of ...
KDD
2010
ACM
13 years 6 months ago
2010
ACM
The problem of graph classification has attracted great interest in the last decade. Current research on graph classification assumes the existence of large amounts of labeled tra...
EVOW
2006
Springer
14 years 15 days ago
2006
Springer
We propose a Genetic Algorithm (GA) approach combined with Support Vector Machines (SVM) for the classification of high dimensional Microarray data. This approach is associated to ...
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
The large number of genes and the relatively small number of samples are typical characteristics for microarray data. These characteristics pose challenges for both sample classif...
HEURISTICS
2008
13 years 9 months ago
2008
This paper investigates how to make improved action selection for online policy learning in robotic scenarios using reinforcement learning (RL) algorithms. Since finding control po...