137 search results - page 17 / 28 » Sparse Semi-supervised Learning Using Conjugate Functions |
CORR
2010
Springer
13 years 5 months ago
2010
Springer
Many problems in machine learning and statistics can be formulated as (generalized) eigenproblems. In terms of the associated optimization problem, computing linear eigenvectors a...
CORR
2007
Springer
13 years 7 months ago
2007
Springer
—This paper studies the ergodic capacity of time- and frequency-selective multipath fading channels in the ultrawideband (UWB) regime when training signals are used for channel e...
CAIP
2003
Springer
14 years 28 days ago
2003
Springer
Abstract. Many classes of images exhibit sparse structuring of statistical dependency. Each variable has strong statistical dependency with a small number of other variables and ne...
JMLR
2006
13 years 7 months ago
2006
In this article we describe a set of scalable techniques for learning the behavior of a group of agents in a collaborative multiagent setting. As a basis we use the framework of c...
KDD
2008
ACM
14 years 8 months ago
2008
ACM
Information-theoretic clustering aims to exploit information theoretic measures as the clustering criteria. A common practice on this topic is so-called INFO-K-means, which perfor...