1215 search results - page 235 / 243 » Application domain study of evolutionary algorithms in optim... |
CIKM
2009
Springer
14 years 1 months ago
2009
Springer
In this paper we study approximate landmark-based methods for point-to-point distance estimation in very large networks. These methods involve selecting a subset of nodes as landm...
JMLR
2012
11 years 9 months ago
2012
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
TVCG
2011
13 years 1 months ago
2011
—This paper describes a complete system to create anatomically accurate example-based volume deformation and animation of articulated body regions, starting from multiple in vivo...
STOC
1999
ACM
13 years 11 months ago
1999
ACM
We considered non-clairvoyant multiprocessor scheduling of jobs with arbitrary arrival times and changing execution characteristics. The problem has been studied extensively when ...
SIGIR
2006
ACM
14 years 20 days ago
2006
ACM
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...