1900 search results - page 52 / 380 » Gaussian Processes for Machine Learning |
CORR
2010
Springer
2010
Springer
Offline Signature Identification by Fusion of Multiple Classifiers using Statistical Learning Theory
13 years 7 months ago
This paper uses Support Vector Machines (SVM) to fuse multiple classifiers for an offline signature system. From the signature images, global and local features are extracted and ...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
The Gaussian process latent variable model (GP-LVM) is a generative approach to nonlinear low dimensional embedding, that provides a smooth probabilistic mapping from latent to da...
ECML
2006
Springer
13 years 11 months ago
2006
Springer
Semi-supervised clustering uses the limited background knowledge to aid unsupervised clustering algorithms. Recently, a kernel method for semi-supervised clustering has been introd...
TIT
2002
13 years 7 months ago
2002
Generalization bounds depending on the margin of a classifier are a relatively recent development. They provide an explanation of the performance of state-of-the-art learning syste...
ECML
2003
Springer
14 years 28 days ago
2003
Springer
Comparative machine learning experiments have become an important methodology in empirical approaches to natural language processing (i) to investigate which machine learning algor...