2512 search results - page 157 / 503 » Learning from Highly Structured Data by Decomposition |
ECML
2007
Springer
15 years 4 months ago
2007
Springer
Boosting is a simple yet powerful modeling technique that is used in many machine learning and data mining related applications. In this paper, we propose a novel scale-space based...
ICDM
2009
IEEE
15 years 4 months ago
2009
IEEE
—Applying the concept of organizational structure to social network analysis may well represent the power of members and the scope of their power in a social network. In this pap...
DCC
2010
IEEE
15 years 5 months ago
2010
IEEE
Block-based random image sampling is coupled with a projectiondriven compressed-sensing recovery that encourages sparsity in the domain of directional transforms simultaneously wi...
ICML
2010
IEEE
14 years 11 months ago
2010
IEEE
Learning temporal causal graph structures from multivariate time-series data reveals important dependency relationships between current observations and histories, and provides a ...
PKDD
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. We propose a learning approach for integrating formal knowledge into statistical inference by exploiting ontologies as a semantically rich and fully formal representation...