1037 search results - page 48 / 208 » Learning of Boolean Functions Using Support Vector Machines |
COLT
2008
Springer
13 years 9 months ago
2008
Springer
We define a model of learning probabilistic acyclic circuits using value injection queries, in which an arbitrary subset of wires is set to fixed values, and the value on the sing...
ESANN
2004
13 years 9 months ago
2004
This paper is based on a new way for determining the regularization trade-off in least squares support vector machines (LS-SVMs) via a mechanism of additive regularization which ha...
MLMI
2005
Springer
14 years 1 months ago
2005
Springer
We show that, using a Support Vector Machine classifier, it is possible to determine with a 75% success rate who dominated a particular meeting on the basis of a few basic feature...
BMCBI
2011
13 years 2 months ago
2011
Background: Accurate identification of protein domain boundaries is useful for protein structure determination and prediction. However, predicting protein domain boundaries from a...
NIPS
2001
13 years 9 months ago
2001
The paper studies machine learning problems where each example is described using a set of Boolean features and where hypotheses are represented by linear threshold elements. One ...