1704 search results - page 71 / 341 » Modeling virtualized applications using machine learning tec... |
ICML
2009
IEEE
16 years 20 days ago
2009
IEEE
This paper addresses exact learning of Bayesian network structure from data and expert's knowledge based on score functions that are decomposable. First, it describes useful ...
104
click to vote
COLT
1993
Springer
15 years 4 months ago
1993
Springer
We describe three applications in computational learning theory of techniques and ideas recently introduced in the study of parameterized computational complexity. (1) Using param...
101
click to vote
CVPR
1997
IEEE
16 years 1 months ago
1997
IEEE
We propose a new machine learning paradigm called Graph Transformer Networks that extends the applicability of gradient-based learning algorithms to systems composed of modules th...
114
click to vote
COLT
2003
Springer
15 years 5 months ago
2003
Springer
The application of statistical methods to natural language processing has been remarkably successful over the past two decades. But, to deal with recent problems arising in this ï¬...
ECML
2007
Springer
15 years 6 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...