Sciweavers

124 search results - page 1 / 25
» Bottom-up learning of Markov logic network structure
Sort
View
ICML
2010
IEEE
14 years 10 months ago
Bottom-Up Learning of Markov Network Structure
The structure of a Markov network is typically learned using top-down search. At each step, the search specializes a feature by conjoining it to the variable or feature that most ...
Jesse Davis, Pedro Domingos
AIRS
2010
Springer
14 years 7 months ago
Top-Down and Bottom-Up: A Combined Approach to Slot Filling
The Slot Filling task requires a system to automatically distill information from a large document collection and return answers for a query entity with specified attributes (`slot...
Zheng Chen, Suzanne Tamang, Adam Lee, Xiang Li, Ma...
75
Voted
ICML
2008
IEEE
15 years 10 months ago
Discriminative structure and parameter learning for Markov logic networks
Tuyen N. Huynh, Raymond J. Mooney
ICMLA
2010
14 years 7 months ago
Heuristic Method for Discriminative Structure Learning of Markov Logic Networks
Markov Logic Networks (MLNs) combine Markov Networks and first-order logic by attaching weights to firstorder formulas and viewing them as templates for features of Markov Networks...
Quang-Thang Dinh, Matthieu Exbrayat, Christel Vrai...
ICML
2007
IEEE
15 years 10 months ago
Bottom-up learning of Markov logic network structure
Markov logic networks (MLNs) are a statistical relational model that consists of weighted firstorder clauses and generalizes first-order logic and Markov networks. The current sta...
Lilyana Mihalkova, Raymond J. Mooney