118 search results - page 2 / 24 » Hierarchic Bayesian models for kernel learning |
NIPS
2008
13 years 6 months ago
2008
We develop new techniques for time series classification based on hierarchical Bayesian generative models (called mixed-effect models) and the Fisher kernel derived from them. A k...
NN
2010
Springer
13 years 2 days ago
2010
Springer
Kernelized LASSO (Least Absolute Selection and Shrinkage Operator) has been investigated in two separate recent papers (Gao et al., 2008) and (Wang et al., 2007). This paper is co...
NIPS
2001
13 years 6 months ago
2001
We propose the framework of mutual information kernels for learning covariance kernels, as used in Support Vector machines and Gaussian process classifiers, from unlabeled task da...
SDM
2004
SIAM
13 years 6 months ago
2004
SIAM
This paper presents a method of generating Mercer Kernels from an ensemble of probabilistic mixture models, where each mixture model is generated from a Bayesian mixture density e...
ESSMAC
2003
Springer
13 years 10 months ago
2003
Springer
