91 search results - page 2 / 19 » A nonparametric hierarchical bayesian framework for informat... |
NIPS
2004
13 years 6 months ago
2004
We present a novel method for learning with Gaussian process regression in a hierarchical Bayesian framework. In a first step, kernel matrices on a fixed set of input points are l...
IROS
2008
IEEE
13 years 12 months ago
2008
IEEE
Abstract— Bayesian filtering is a general framework for recursively estimating the state of a dynamical system. The most common instantiations of Bayes filters are Kalman filt...
ACL
2012
11 years 8 months ago
2012
One of the key tasks for analyzing conversational data is segmenting it into coherent topic segments. However, most models of topic segmentation ignore the social aspect of conver...
KDD
2008
ACM
2008
ACM
Knowledge discovery of semantic relationships between words using nonparametric bayesian graph model
14 years 5 months ago
We developed a model based on nonparametric Bayesian modeling for automatic discovery of semantic relationships between words taken from a corpus. It is aimed at discovering seman...
AMDO
2010
Springer
13 years 3 months ago
2010
Springer
Particle Filter methods are one of the dominant tracking paradigms due to its ability to handle non-gaussian processes, multimodality and temporal consistency. Traditionally, the e...