Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A flexible Bayesian generalized linear model for dichotomous response
  data with an application to text categorization   We present a class of sparse generalized linear models that include probit
and logistic regression as special cases and offer some extra flexibility. We
provide an EM algorithm for learning the parameters of these models from data.
We apply our method in text classification and in simulated data and show that
our method outperforms the logistic and probit models and also the elastic net,
in general by a substantial margin.

8
The categories of this paper are: hep-ex
30
The categories of this paper are: q-alg
35
The categories of this paper are: mtrl-th
29
The categories of this paper are: funct-an
14
The categories of this paper are: math-ph
18
The categories of this paper are: econ
24
The categories of this paper are: dg-ga
2
The categories of this paper are: math
23
The categories of this paper are: solv-int
22
The categories of this paper are: chao-dyn
7
The categories of this paper are: hep-th
5
The categories of this paper are: gr-qc
12
The categories of this paper are: nucl-th
0
The categories of this paper are: hep-ph
1
The categories of this paper are: cs
20
The categories of this paper are: acc-phys