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» Information matrix for hidden Markov models with covariates
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ICASSP
2008
IEEE
16 years 1 months ago
Exploiting contextual information for improved phoneme recognition
In this paper, we investigate the significance of contextual information in a phoneme recognition system using the hidden Markov model - artificial neural network paradigm. Cont...
Joel Pinto, B. Yegnanarayana, Hynek Hermansky, Mat...
ICA
2007
Springer
15 years 10 months ago
Infinite Sparse Factor Analysis and Infinite Independent Components Analysis
Abstract. A nonparametric Bayesian extension of Independent Components Analysis (ICA) is proposed where observed data Y is modelled as a linear superposition, G, of a potentially i...
David Knowles, Zoubin Ghahramani
MA
2010
Springer
172views Communications» more  MA 2010»
15 years 5 months ago
On Monte Carlo methods for Bayesian multivariate regression models with heavy-tailed errors
We consider Bayesian analysis of data from multivariate linear regression models whose errors have a distribution that is a scale mixture of normals. Such models are used to analy...
Vivekananda Roy, James P. Hobert
ICANN
2005
Springer
16 years 9 days ago
Implicit Relevance Feedback from Eye Movements
We explore the use of eye movements as a source of implicit relevance feedback information. We construct a controlled information retrieval experiment where the relevance of each t...
Jarkko Salojärvi, Kai Puolamäki, Samuel ...
BIOINFORMATICS
2010
127views more  BIOINFORMATICS 2010»
15 years 7 months ago
Analyzing taxonomic classification using extensible Markov models
Motivation: As next generation sequencing is rapidly adding new genomes, their correct placement in the taxonomy needs verification. However, the current methods for confirming cl...
Rao M. Kotamarti, Michael Hahsler, Douglas Raiford...