1034 search results - page 18 / 207 » A Bayesian Metric for Evaluating Machine Learning Algorithms |
CVPR
2006
IEEE
14 years 9 months ago
2006
IEEE
Image segmentation is a fundamental step in many computer vision applications. Generally, the choice of a segmentation algorithm, or parameterization of a given algorithm, is sele...
JGO
2010
13 years 5 months ago
2010
Both optimization and learning play important roles in a system for intelligent tasks. On one hand, we introduce three types of optimization tasks studied in the machine learning l...
ICML
2001
IEEE
14 years 8 months ago
2001
IEEE
In this paper, we show how we can learn to select good words for a document title. We view the problem of selecting good title words for a document as a variant of an Information ...
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
In this paper we propose an alternative interpretation of Bayesian learning based on maximal evidence principle. We establish a notion of local evidence which can be viewed as a c...
MCS
2000
Springer
13 years 11 months ago
2000
Springer
Ensemble methods are learning algorithms that construct a set of classi ers and then classify new data points by taking a (weighted) vote of their predictions. The original ensembl...