10 search results - page 1 / 2 » Minimum Message Length Clustering Using Gibbs Sampling |
UAI
2000
13 years 6 months ago
2000
The K-Means and EM algorithms are popular in clustering and mixture modeling due to their simplicity and ease of implementation. However, they have several significant limitations...
ACISICIS
2007
IEEE
13 years 11 months ago
2007
IEEE
We present here some applications of the Minimum Message Length (MML) principle to spatially correlated data. Discrete valued Markov Random Fields are used to model spatial correl...
ICML
2002
IEEE
14 years 5 months ago
2002
IEEE
We apply the Message from Monte Carlo (MMC) algorithm to inference of univariate polynomials. MMC is an algorithm for point estimation from a Bayesian posterior sample. It partiti...
AUSAI
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. In Minimum Message Length (MML) clustering (unsupervised classification, mixture modelling) the aim is to infer a set of classes that best explains the observed data ite...
CORR
2011
Springer
12 years 11 months ago
2011
Springer
We propose a factor-graph-based approach to joint channel-estimationand-decoding of bit-interleaved coded orthogonal frequency division multiplexing (BICM-OFDM). In contrast to ex...