Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Noisy and Incomplete Boolean Matrix Factorizationvia Expectation
  Maximization   Probabilistic approach to Boolean matrix factorization can provide solutions
robustagainst noise and missing values with linear computational complexity.
However,the assumption about latent factors can be problematic in real world
applications.This study proposed a new probabilistic algorithm free of
assumptions of latentfactors, while retaining the advantages of previous
algorithms. Real data experimentshowed that our algorithm was favourably
compared with current state-of-the-artprobabilistic algorithms.

25
The categories of this paper are: patt-sol
19
The categories of this paper are: eess
14
The categories of this paper are: math-ph
20
The categories of this paper are: acc-phys
30
The categories of this paper are: q-alg
9
The categories of this paper are: nlin
10
The categories of this paper are: q-bio
36
The categories of this paper are: cmp-lg
37
The categories of this paper are: supr-con
28
The categories of this paper are: alg-geom
12
The categories of this paper are: nucl-th
22
The categories of this paper are: chao-dyn
0
The categories of this paper are: hep-ph
7
The categories of this paper are: hep-th
26
The categories of this paper are: bayes-an
15
The categories of this paper are: nucl-ex