1419 search results - page 208 / 284 » Approximation Methods for Supervised Learning |
CORR
2006
Springer
13 years 10 months ago
2006
Springer
Fitness functions based on test cases are very common in Genetic Programming (GP). This process can be assimilated to a learning task, with the inference of models from a limited n...
JMLR
2008
13 years 10 months ago
2008
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
CVBIA
2005
Springer
14 years 3 months ago
2005
Springer
In this paper we present a new framework for image segmentation using probabilistic multinets. We apply this framework to integration of regionbased and contour-based segmentation ...
BIOINFORMATICS
2011
13 years 1 months ago
2011
We consider the problem of similarity queries in biological network databases. Given a database of networks, similarity query returns all the database networks whose similarity (i...
ACL
2009
13 years 7 months ago
2009
Stochastic gradient descent (SGD) uses approximate gradients estimated from subsets of the training data and updates the parameters in an online fashion. This learning framework i...