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» Stochastic Motif Extraction Using Hidden Markov Model
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UAI
2004
15 years 1 months ago
Bayesian Learning in Undirected Graphical Models: Approximate MCMC Algorithms
Bayesian learning in undirected graphical models--computing posterior distributions over parameters and predictive quantities-is exceptionally difficult. We conjecture that for ge...
Iain Murray, Zoubin Ghahramani
ICPR
2004
IEEE
16 years 24 days ago
Rejection Strategies for Offline Handwritten Sentence Recognition
This paper investigates three different rejection strategies for offline handwritten sentence recognition. The rejection strategies are implemented as a postprocessing step of a H...
Horst Bunke, Matthias Zimmermann, Roman Bertolami
BIBE
2000
IEEE
15 years 3 months ago
Mining Residue Contacts in Proteins
In this paper we develop data mining techniques to predict 3D contact potentials among protein residues (or amino acids) based on the hierarchical nucleationpropagation model of p...
Mohammed Javeed Zaki, Shan Jin, Chris Bystroff
COST
2009
Springer
203views Multimedia» more  COST 2009»
15 years 6 months ago
Multiple Feature Extraction and Hierarchical Classifiers for Emotions Recognition
Abstract. The recognition of the emotional states of speaker is a multidisciplinary research area that has received great interest in the last years. One of the most important goal...
Enrique M. Albornoz, Diego H. Milone, Hugo Leonard...
CORR
2010
Springer
123views Education» more  CORR 2010»
14 years 10 months ago
Feature Construction for Relational Sequence Learning
Abstract. We tackle the problem of multi-class relational sequence learning using relevant patterns discovered from a set of labelled sequences. To deal with this problem, firstly...
Nicola Di Mauro, Teresa Maria Altomare Basile, Ste...