45 search results - page 1 / 9 » Deconvolutive Clustering of Markov States |
ECML
2006
Springer
13 years 8 months ago
2006
Springer
In this paper we formulate the problem of grouping the states of a discrete Markov chain of arbitrary order simultaneously with deconvolving its transition probabilities. As the na...
ICDM
2008
IEEE
13 years 11 months ago
2008
IEEE
This paper studies evolutionary clustering, which is a recently hot topic with many important applications, noticeably in social network analysis. In this paper, based on the rece...
ICASSP
2009
IEEE
13 years 11 months ago
2009
IEEE
In modern automatic speech recognition systems, it is standard practice to cluster several logical hidden Markov model states into one physical, clustered state. Typically, the cl...
CORR
2004
Springer
13 years 4 months ago
2004
Springer
Markov models have been widely utilized for modelling user web navigation behaviour. In this work we propose a dynamic clustering-based method to increase a Markov model's ac...
ECML
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. Clustering has recently enjoyed progress via spectral methods which group data using only pairwise affinities and avoid parametric assumptions. While spectral clustering ...