1253 search results - page 54 / 251 » An Experimental and Theoretical Comparison of Model Selectio... |
ECCV
2006
Springer
14 years 10 months ago
2006
Springer
Algorithms for discrete energy minimization play a fundamental role for low-level vision. Known techniques include graph cuts, belief propagation (BP) and recently introduced tree-...
ICML
2004
IEEE
14 years 9 months ago
2004
IEEE
Classifier learning methods commonly assume that the training data consist of randomly drawn examples from the same distribution as the test examples about which the learned model...
ICDM
2005
IEEE
14 years 2 months ago
2005
IEEE
We propose an algorithm to construct classification models with a mixture of kernels from labeled and unlabeled data. The derived classifier is a mixture of models, each based o...
SCIA
2007
Springer
14 years 3 months ago
2007
Springer
Abstract. The accuracy of data classification methods depends considerably on the data representation and on the selected features. In this work, the elastic net model selection i...
TKDE
2012
11 years 11 months ago
2012
Feature selection is fundamental to knowledge discovery from massive amount of high-dimensional data. In an effort to establish theoretical justification for feature selection al...