83 search results - page 4 / 17 » Multiclass relevance vector machines: sparsity and accuracy |
ICANN
2007
Springer
14 years 1 months ago
2007
Springer
Support Vector Machines (SVMs) for classification tasks produce sparse models by maximizing the margin. Two limitations of this technique are considered in this work: firstly, th...
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
In this paper we propose an alternative interpretation of Bayesian learning based on maximal evidence principle. We establish a notion of local evidence which can be viewed as a c...
ARTMED
2007
13 years 7 months ago
2007
Objective: This study investigates the use of automated pattern recognition methods on magnetic resonance data with the ultimate goal to assist clinicians in the diagnosis of brai...
ESANN
2008
13 years 9 months ago
2008
In this work, we developed classifiers to distinguish between four ovarian tumor types using Bayesian least squares support vector machines (LS-SVMs) and kernel logistic regression...
BMCBI
2010
13 years 7 months ago
2010
Background: Because a priori knowledge about function of G protein-coupled receptors (GPCRs) can provide useful information to pharmaceutical research, the determination of their ...