Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Bayesian Model Averaging Using the k-best Bayesian Network Structures   We study the problem of learning Bayesian network structures from data. We
develop an algorithm for finding the k-best Bayesian network structures. We
propose to compute the posterior probabilities of hypotheses of interest by
Bayesian model averaging over the k-best Bayesian networks. We present
empirical results on structural discovery over several real and synthetic data
sets and show that the method outperforms the model selection method and the
state of-the-art MCMC methods.

37
The categories of this paper are: supr-con
20
The categories of this paper are: acc-phys
33
The categories of this paper are: plasm-ph
29
The categories of this paper are: funct-an
6
The categories of this paper are: astro-ph
9
The categories of this paper are: nlin
3
The categories of this paper are: physics
13
The categories of this paper are: quant-ph
31
The categories of this paper are: ao-sci
30
The categories of this paper are: q-alg
22
The categories of this paper are: chao-dyn
27
The categories of this paper are: comp-gas
15
The categories of this paper are: nucl-ex
5
The categories of this paper are: gr-qc
19
The categories of this paper are: eess
8
The categories of this paper are: hep-ex