232 search results - page 3 / 47 » Learning relational dependency networks in hybrid domains |
AAAI
2007
13 years 8 months ago
2007
Transfer learning addresses the problem of how to leverage knowledge acquired in a source domain to improve the accuracy and speed of learning in a related target domain. This pap...
ECAI
2010
Springer
13 years 3 months ago
2010
Springer
Abstract. Statistical relational models, such as Markov logic networks, seek to compactly describe properties of relational domains by representing general principles about objects...
KDD
2009
ACM
14 years 6 months ago
2009
ACM
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
NOMS
2000
IEEE
13 years 10 months ago
2000
IEEE
This paper proposes a novel approach for managing IP-based services and applications, reflecting the authors’ experience with the IBM Global Network. It describes how one can e...
ICDM
2005
IEEE
13 years 11 months ago
2005
IEEE
Bayesian Network (BN) is a powerful network model, which represents a set of variables in the domain and provides the probabilistic relationships among them. But BN can handle dis...