22 search results - page 2 / 5 » Structure Learning of Markov Logic Networks through Iterated... |
AAAI
2010
13 years 11 months ago
2010
Many machine learning applications that involve relational databases incorporate first-order logic and probability. Markov Logic Networks (MLNs) are a prominent statistical relati...
ICML
2010
IEEE
13 years 11 months ago
2010
IEEE
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 ...
WISE
2002
Springer
14 years 3 months ago
2002
Springer
A distributed search system consists of a large number of autonomous search servers logically connected in a peerto-peer network. Each search server maintains a local index of a c...
ICDM
2010
IEEE
13 years 8 months ago
2010
IEEE
Traditional Markov network structure learning algorithms perform a search for globally useful features. However, these algorithms are often slow and prone to finding local optima d...
UAI
2001
13 years 11 months ago
2001
The search space of Bayesian Network structures is usually defined as Acyclic Directed Graphs (DAGs) and the search is done by local transformations of DAGs. But the space of Baye...