In this paper we present a variational Bayes (VB) framework for learning continuous hidden Markov models (CHMMs), and we examine the VB framework within active learning. Unlike a ...
This paper presents a comparative study of five parameter estimation algorithms on four NLP tasks. Three of the five algorithms are well-known in the computational linguistics com...
Jianfeng Gao, Galen Andrew, Mark Johnson, Kristina...
: Statistics that accurately describe the distribution of data values in the columns of relational tables are essential for effective query optimization in a database management sy...
Alexander Behm, Volker Markl, Peter J. Haas, Kesha...
The Gaussian mixture model is a powerful statistical tool in data modeling and analysis. Generally, the EM algorithm is utilized to learn the parameters of the Gaussian mixture. Ho...
Abstract— In this paper we deal with carrier frequency estimation for filter-bank multicarrier burst transmission over timefrequency selective fading channels. Three open-loop a...