72 search results - page 3 / 15 » Gaussian Process Models for Link Analysis and Transfer Learn... |
JMLR
2012
11 years 7 months ago
2012
The development of accurate models and efficient algorithms for the analysis of multivariate categorical data are important and longstanding problems in machine learning and compu...
BMCBI
2007
13 years 5 months ago
2007
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
ICA
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. We discuss causal structure learning based on linear structural equation models. Conventional learning methods most often assume Gaussianity and create many indistinguish...
IJON
2007
13 years 5 months ago
2007
This perspective paper explores principles of unsupervised learning and how they relate to face recognition. Dependency coding and information maximization appear to be central pr...
ICCSA
2010
Springer
13 years 7 months ago
2010
Springer
Nowadays, spatial analysis led on complex phenomenon implies the usage of data available on heterogeneous territorial meshes, that is to say misaligned meshes. Then, combine these ...