28 search results - page 2 / 6 » Small Sample Inference for Generalization Error in Classific... |
COLT
2001
Springer
13 years 9 months ago
2001
Springer
We consider geometric conditions on a labeled data set which guarantee that boosting algorithms work well when linear classifiers are used as weak learners. We start by providing ...
NAACL
2010
13 years 2 months ago
2010
Recently, relaxation approaches have been successfully used for MAP inference on NLP problems. In this work we show how to extend the relaxation approach to marginal inference use...
IJBRA
2007
13 years 4 months ago
2007
: For microarray based cancer classification, feature selection is a common method for improving classifier generalisation. Most wrapper methods use cross validation methods to eva...
ISCA
2011
IEEE
12 years 8 months ago
2011
IEEE
With technology scaling, manufacture-time and in-field permanent faults are becoming a fundamental problem. Multi-core architectures with spares can tolerate them by detecting an...
ICML
1998
IEEE
14 years 5 months ago
1998
IEEE
In this work, we present a new bottom-up algorithmfor decision tree pruning that is very e cient requiring only a single pass through the given tree, and prove a strong performanc...