447 search results - page 57 / 90 » Choosing Multiple Parameters for Support Vector Machines |
CLUSTER
2002
IEEE
13 years 7 months ago
2002
IEEE
The need to conduct and manage large sets of experiments for scientific applications dramatically increased over the last decade. However, there is still very little tool support ...
SSPR
2004
Springer
14 years 1 months ago
2004
Springer
We present a novel clustering method using HMM parameter space and eigenvector decomposition. Unlike the existing methods, our algorithm can cluster both constant and variable leng...
WWW
2005
ACM
14 years 8 months ago
2005
ACM
Design of high performance Web servers has become a recent research thrust to meet the increasing demand of networkbased services. In this paper, we propose a new Web server archi...
WSOM
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. SOMs have proven to be a very powerful tool for data analysis. However, comparing multiple SOMs trained on the same data set using different parameters or initialisation...
MICCAI
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. We apply sparse Bayesian learning methods, automatic relevance determination (ARD) and predictive ARD (PARD), to Alzheimer’s disease (AD) classification to make accura...