840 search results - page 12 / 168 » A New Discriminative Kernel From Probabilistic Models |
95
Voted
PKDD
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. Gaussian processes have successfully been used to learn preferences among entities as they provide nonparametric Bayesian approaches for model selection and probabilistic...
ICANNGA
2009
Springer
15 years 4 months ago
2009
Springer
A statistical generative model is presented as an alternative to negative selection in anomaly detection of string data. We extend the probabilistic approach to binary classificat...
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
Kernel conditional random fields (KCRFs) are introduced as a framework for discriminative modeling of graph-structured data. A representer theorem for conditional graphical models...
74
Voted
ICML
2003
IEEE
15 years 10 months ago
2003
IEEE
A new method for classification is proposed. This is based on kernel orthonormalized partial least squares (PLS) dimensionality reduction of the original data space followed by a ...
PAA
2002
14 years 9 months ago
2002
: The idea of performing model combination, instead of model selection, has a long theoretical background in statistics. However, making use of theoretical results is ordinarily su...