116 citations · 162 across the 2 of their papers we have counts for
2 papers
cs.AI2013★ 116 cited
Combinatorial Optimization by Learning and Simulation of Bayesian Networks
Pedro Larrañaga, Ramon Etxeberria, Jose A. Lozano +1
This paper shows how the Bayesian network paradigm can be used in order to solve combinatorial optimization problems. To do it some methods of structure learning from data and simu…
cs.LG2012★ 46 cited
On Local Optima in Learning Bayesian Networks
Jens D. Nielsen, Tomas Kocka, Jose M. Pena
This paper proposes and evaluates the k-greedy equivalence search algorithm (KES) for learning Bayesian networks (BNs) from complete data. The main characteristic of KES is that it…