Sciweavers

307 search results - page 1 / 62
» Classification Using a Hierarchical Bayesian Approach
Sort
View
ICPR
2002
IEEE
15 years 10 months ago
Classification Using a Hierarchical Bayesian Approach
A key problem faced by classifiers is coping with styles not represented in the training set. We present an application of hierarchical Bayesian methods to the problem of recogniz...
Charles Mathis, Thomas M. Breuel
87
Voted
NIPS
2001
14 years 11 months ago
Bayesian time series classification
This paper proposes an approach to classification of adjacent segments of a time series as being either of classes. We use a hierarchical model that consists of a feature extract...
Peter Sykacek, Stephen J. Roberts
95
Voted
ESANN
2006
14 years 11 months ago
Hierarchical markovian models for joint classification, segmentation and data reduction of hyperspectral images
Spectral classification, segmentation and data reduction are the three main problems in hyperspectral image analysis. In this paper we propose a Bayesian estimation approach which ...
Nadia Bali, Ali Mohammad-Djafari, Adel Mohammadpou...
UAI
2008
14 years 11 months ago
Convex Point Estimation using Undirected Bayesian Transfer Hierarchies
When related learning tasks are naturally arranged in a hierarchy, an appealing approach for coping with scarcity of instances is that of transfer learning using a hierarchical Ba...
Gal Elidan, Benjamin Packer, Geremy Heitz, Daphne ...
BMCBI
2006
108views more  BMCBI 2006»
14 years 9 months ago
Gene function classification using Bayesian models with hierarchy-based priors
We investigate the application of hierarchical classification schemes to the annotation of gene function based on several characteristics of protein sequences including phylogenic ...
Babak Shahbaba, Radford M. Neal