Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Convergence of the EM Algorithm for Gaussian Mixtures with Unbalanced
  Mixing Coefficients   The speed of convergence of the Expectation Maximization (EM) algorithm for
Gaussian mixture model fitting is known to be dependent on the amount of
overlap among the mixture components. In this paper, we study the impact of
mixing coefficients on the convergence of EM. We show that when the mixture
components exhibit some overlap, the convergence of EM becomes slower as the
dynamic range among the mixing coefficients increases. We propose a
deterministic anti-annealing algorithm, that significantly improves the speed
of convergence of EM for such mixtures with unbalanced mixing coefficients. The
proposed algorithm is compared against other standard optimization techniques
like BFGS, Conjugate Gradient, and the traditional EM algorithm. Finally, we
propose a similar deterministic anti-annealing based algorithm for the
Dirichlet process mixture model and demonstrate its advantages over the
conventional variational Bayesian approach.

18
The categories of this paper are: econ
9
The categories of this paper are: nlin
24
The categories of this paper are: dg-ga
19
The categories of this paper are: eess
4
The categories of this paper are: cond-mat
34
The categories of this paper are: chem-ph
30
The categories of this paper are: q-alg
5
The categories of this paper are: gr-qc
3
The categories of this paper are: physics
10
The categories of this paper are: q-bio
27
The categories of this paper are: comp-gas
25
The categories of this paper are: patt-sol
36
The categories of this paper are: cmp-lg
23
The categories of this paper are: solv-int
14
The categories of this paper are: math-ph
11
The categories of this paper are: hep-lat