1301 search results - page 18 / 261 » Default Clustering from Sparse Data Sets |
BIBM
2008
IEEE
14 years 3 months ago
2008
IEEE
We present an EM-based clustering method that can be used for constructing or augmenting ontologies such as MeSH. Our algorithm simultaneously clusters verbs and nouns using both ...
BMCBI
2010
13 years 8 months ago
2010
Background: This paper introduces the notion of optimizing different norms in the dual problem of support vector machines with multiple kernels. The selection of norms yields diff...
EMMCVPR
1997
Springer
14 years 24 days ago
1997
Springer
Abstract. In this paper a rigorous mathematical framework of deterministic annealing and mean-field approximation is presented for a general class of partitioning, clustering and ...
KDD
2010
ACM
13 years 10 months ago
2010
ACM
We consider the problem of learning incoherent sparse and lowrank patterns from multiple tasks. Our approach is based on a linear multi-task learning formulation, in which the spa...
PERVASIVE
2011
Springer
12 years 11 months ago
2011
Springer
People spend most of their time at a few key locations, such as home and work. Being able to identify how the movements of people cluster around these “important places” is cru...