Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Variational Expectation-Maximisation Algorithm for Learning Jump
  Markov Linear Systems   Jump Markov linear systems (JMLS) are a useful class which can be used to
model processes which exhibit random changes in behavior during operation. This
paper presents a numerically stable method for learning the parameters of jump
Markov linear systems using the expectation-maximisation (EM) approach. The
solution provided herein is a deterministic algorithm, and is not a Monte Carlo
based technique. As a result, simulations show that when compared to
alternative approaches, a more likely set of system parameters can be found
within a fixed computation time, which better explain the observations of the
system.

13
The categories of this paper are: quant-ph
26
The categories of this paper are: bayes-an
0
The categories of this paper are: hep-ph
14
The categories of this paper are: math-ph
33
The categories of this paper are: plasm-ph
28
The categories of this paper are: alg-geom
29
The categories of this paper are: funct-an
27
The categories of this paper are: comp-gas
12
The categories of this paper are: nucl-th
35
The categories of this paper are: mtrl-th
31
The categories of this paper are: ao-sci
17
The categories of this paper are: q-fin
6
The categories of this paper are: astro-ph
23
The categories of this paper are: solv-int
36
The categories of this paper are: cmp-lg
37
The categories of this paper are: supr-con