AbstractThe paper provides a unifying perspective of tree-decomposition algorithms appearing in various automated reasoning areas such as join-tree clustering for constraint-satisfaction and the clique-tree algorithm for probabilistic reasoning. Within this framework, we introduce a new algorithm, called bucket-tree elimination (BTE), that extends Bucket Elimination (BE) to trees, and show that it can provide a speed-up of n over BE for various reasoning tasks. Time-space tradeoffs of tree-decomposition processing are analyzed
Many algorithms for performing inference in graphical models have complexity that is exponential in ...
The rising interest around tractable Probabilistic Graphical Models is due to the guarantees on inf...
Tree automata are widely used in applications such as XML document manipulation, natural language pr...
AbstractThe paper provides a unifying perspective of tree-decomposition algorithms appearing in vari...
The paper extends several variable elimination schemes into a two-phase message passing algorithm al...
AbstractAn elimination tree is a form of recursive factorization for Bayesian networks. Elimination ...
AbstractBucket elimination is an algorithmic framework that generalizes dynamic programming to accom...
International audienceFor the study and the solving of NP-hard problems, the concept of tree decompo...
This paper concerns the task of removing redun-dant information from a given knowledge base, and res...
International audienceProbabilistic graphical models offer a powerful framework to account for the d...
The focus of this thesis is the concept of tree-decomposition. A tree-decomposition of a graph G is ...
A tree decomposition of a hypergraph is a construction that captures the graph's topological s...
Probabilistic graphical models offer a powerful framework to account for the dependence structure be...
The chapter covers methods for identifying islands of tractability for NP-hard combi-natorial proble...
Graphical models are one of the most prominent frameworks to model complex systems and efficiently q...
Many algorithms for performing inference in graphical models have complexity that is exponential in ...
The rising interest around tractable Probabilistic Graphical Models is due to the guarantees on inf...
Tree automata are widely used in applications such as XML document manipulation, natural language pr...
AbstractThe paper provides a unifying perspective of tree-decomposition algorithms appearing in vari...
The paper extends several variable elimination schemes into a two-phase message passing algorithm al...
AbstractAn elimination tree is a form of recursive factorization for Bayesian networks. Elimination ...
AbstractBucket elimination is an algorithmic framework that generalizes dynamic programming to accom...
International audienceFor the study and the solving of NP-hard problems, the concept of tree decompo...
This paper concerns the task of removing redun-dant information from a given knowledge base, and res...
International audienceProbabilistic graphical models offer a powerful framework to account for the d...
The focus of this thesis is the concept of tree-decomposition. A tree-decomposition of a graph G is ...
A tree decomposition of a hypergraph is a construction that captures the graph's topological s...
Probabilistic graphical models offer a powerful framework to account for the dependence structure be...
The chapter covers methods for identifying islands of tractability for NP-hard combi-natorial proble...
Graphical models are one of the most prominent frameworks to model complex systems and efficiently q...
Many algorithms for performing inference in graphical models have complexity that is exponential in ...
The rising interest around tractable Probabilistic Graphical Models is due to the guarantees on inf...
Tree automata are widely used in applications such as XML document manipulation, natural language pr...