In this paper, we propose a sub-space greedy search method for efficient Bayesian Network inference. Particularly, this method limits the greedy search ...

Semantic Scholar extracted view of "A sub-space greedy search method for efficient Bayesian Network inference" by Qing Zhang et al.

In this paper, we propose a sub-space greedy search method for efficient Bayesian Network inference. Particularly, this method limits the greedy search ...

Qing Zhang, Yong Cao, Yong Li , Yanming Zhu, Samuel S. M. Sun, Dianjing Guo: A sub-space greedy search method for efficient Bayesian Network inference.

6. A sub-space greedy search method for efficient Bayesian Network inference. Zhang Q, Cao Y, Li Y, Zhu Y, Sun SS, Guo D. Comput Biol Med; 2011 ...

Consider now the greedy algorithm that creates a solution set incrementaly, each time adding the node with the highest marginal benefit into the solution set ...

A sub-space greedy search method for efficient Bayesian Network inference. Zhang Q ; A hybrid Bayesian network learning method for constructing gene networks.

A greedy search then acts on the restricted search space defined by excluding edges not included in the reference skeleton. Since score and search, when ...

A crucial step in the optimization approach is the heuris- tic search. Most existing learning tools apply standard heuristic search techniques, such as greedy ...

We experimented with ordering-based search, com- paring it to the standard baseline of greedy-tabu search over structures. We used both synthetic data,.