172 search results - page 8 / 35 » Learning to Predict Code-Switching Points |
UAI
2008
13 years 9 months ago
2008
When related learning tasks are naturally arranged in a hierarchy, an appealing approach for coping with scarcity of instances is that of transfer learning using a hierarchical Ba...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
We present a novel algorithm for computing a training set consistent subset for the nearest neighbor decision rule. The algorithm, called FCNN rule, has some desirable properties....
DAGM
2004
Springer
14 years 1 months ago
2004
Springer
We consider the general problem of learning from labeled and unlabeled data. Given a set of points, some of them are labeled, and the remaining points are unlabeled. The goal is to...
NN
2000
Springer
13 years 7 months ago
2000
Springer
Piecewise-linear (PWL) neural networks are widely known for their amenability to digital implementation. This paper presents a new algorithm for learning in PWL networks consistin...
COLT
2004
Springer
14 years 1 months ago
2004
Springer
Abstract— We prove that given a nearly log-concave distribution, in any partition of the space to two well separated sets, the measure of the points that do not belong to these s...