42 search results - page 2 / 9 » Cost-sensitive learning with conditional Markov networks |
FLAIRS
2003
14 years 11 months ago
2003
This paper presents a number of new algorithms for discovering the Markov Blanket of a target variable T from training data. The Markov Blanket can be used for variable selection ...
97
Voted
ICML
2007
IEEE
15 years 11 months ago
2007
IEEE
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...
91
Voted
SDM
2008
SIAM
14 years 11 months ago
2008
SIAM
In this paper we present the Dynamic Grow-Shrink Inference-based Markov network learning algorithm (abbreviated DGSIMN), which improves on GSIMN, the state-ofthe-art algorithm for...
101
Voted
ECAI
2010
Springer
14 years 7 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...
109
Voted
ICMLA
2009
14 years 8 months ago
2009
Languages that combine predicate logic with probabilities are needed to succinctly represent knowledge in many real-world domains. We consider a formalism based on universally qua...