1419 search results - page 66 / 284 » Approximation Methods for Supervised Learning |
ML
2012
ACM
12 years 5 months ago
2012
ACM
Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...
DEXAW
2007
IEEE
14 years 4 months ago
2007
IEEE
In this paper, we examine the application of manifold learning to the clustering problem. The method used is Locality Preserving Projections (LPP), which is chosen because of its ...
ICRA
2009
IEEE
14 years 4 months ago
2009
IEEE
Abstract— Least-squares policy iteration is a useful reinforcement learning method in robotics due to its computational efficiency. However, it tends to be sensitive to outliers...
AUSAI
2006
Springer
14 years 1 months ago
2006
Springer
Abstract. A learning curve of a performance measure provides a graphical method with many benefits for judging classifier properties. The area under the ROC curve (AUC) is a useful...
KCAP
2005
ACM
14 years 3 months ago
2005
ACM
The AutoFeed system automatically extracts data from semistructured web sites. Previously, researchers have developed two types of supervised learning approaches for extracting we...