1023 search results - page 3 / 205 » Graph model selection using maximum likelihood |
SODA
2001
ACM
13 years 8 months ago
2001
ACM
Markov networks are a common class of graphical models used in machine learning. Such models use an undirected graph to capture dependency information among random variables in a ...
ICC
2007
IEEE
14 years 1 months ago
2007
IEEE
Abstract— In this paper, we have investigated the maximumlikelihood (ML) receivers for the fast frequency-hopped binary frequency-shift-keying (FFH/BFSK) spread-spectrum communic...
UAI
2004
13 years 8 months ago
2004
Ancestral graph models, introduced by Richardson and Spirtes (2002), generalize both Markov random fields and Bayesian networks to a class of graphs with a global Markov property ...
TSD
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. Gender and age estimation based on Gaussian Mixture Models (GMM) is introduced. Telephone recordings from the Czech SpeechDatEast database are used as training and test d...
ICBA
2004
Springer
14 years 25 days ago
2004
Springer
We apply the ETSI’s DSR standard to speaker verification over telephone networks and investigate the effect of extracting spectral features from different stages of the ETSI...