222 search results - page 40 / 45 » Learning Optimal Parameters in Decision-Theoretic Rough Sets |
GECCO
2005
Springer
14 years 2 months ago
2005
Springer
Identification of those genes that might anticipate the clinical behavior of different types of cancers is challenging due to availability of a smaller number of patient samples...
ICASSP
2011
IEEE
13 years 8 days ago
2011
IEEE
Deep Neural Networks (DNNs) denote multilayer artificial neural networks with more than one hidden layer and millions of free parameters. We propose a Generalized Discriminant An...
BMCBI
2007
13 years 8 months ago
2007
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
GECCO
2007
Springer
14 years 2 months ago
2007
Springer
Schulenburg [15] first proposed the idea to model different trader types by supplying different input information sets to a group of homogenous LCS agent. Gershoff [12] investigat...
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
We describe and analyze a simple and effective iterative algorithm for solving the optimization problem cast by Support Vector Machines (SVM). Our method alternates between stocha...