1599 search results - page 258 / 320 » Theoretical Frameworks for Data Mining |
NIPS
2008
13 years 10 months ago
2008
The discovery of causal relationships between a set of observed variables is a fundamental problem in science. For continuous-valued data linear acyclic causal models with additiv...
SIAMIS
2010
13 years 3 months ago
2010
Abstract. We propose an algorithmic framework for computing global solutions of variational models with convex regularity terms that permit quite arbitrary data terms. While the mi...
CVPR
2012
IEEE
11 years 11 months ago
2012
IEEE
Subspace clustering and feature extraction are two of the most commonly used unsupervised learning techniques in computer vision and pattern recognition. State-of-theart technique...
KDD
2009
ACM
14 years 9 months ago
2009
ACM
Controlled experiments, also called randomized experiments and A/B tests, have had a profound influence on multiple fields, including medicine, agriculture, manufacturing, and adv...
GFKL
2007
Springer
14 years 27 days ago
2007
Springer
In many classification applications, Support Vector Machines (SVMs) have proven to be highly performing and easy to handle classifiers with very good generalization abilities. Howe...