83 search results - page 12 / 17 » A Comparison of Approaches for Learning Probability Trees |
AIIA
2003
Springer
14 years 2 months ago
2003
Springer
A bayesian network is an appropriate tool for working with uncertainty and probability, that are typical of real-life applications. In literature we find different approaches for b...
AI
2009
Springer
14 years 3 months ago
2009
Springer
This paper shows that a detailed, although non-emotional, description of event or an action can be a reliable source for learning opinions. Empirical results show the practical uti...
TKDE
2008
13 years 9 months ago
2008
We present a method for explaining predictions for individual instances. The presented approach is general and can be used with all classification models that output probabilities...
MICCAI
2006
Springer
14 years 10 months ago
2006
Springer
This paper presents a learning based method for automatic extraction of the major cortical sulci from MRI volumes or extracted surfaces. Instead of using a few pre-defined rules su...
NIPS
2008
13 years 10 months ago
2008
Many machine learning algorithms require the summation of Gaussian kernel functions, an expensive operation if implemented straightforwardly. Several methods have been proposed to...