83 search results - page 2 / 17 » Lazy Learning of Bayesian Rules |
FLAIRS
1998
13 years 6 months ago
1998
Weintroduce a significant improvementfor a relatively newmachine learning methodcalled Transformation-Based Learning. By applying a MonteCarlo strategy to randomly sample from the...
ML
2010
ACM
13 years 2 days ago
2010
ACM
AIIA
2003
Springer
13 years 10 months ago
2003
Springer
A bayesian network is an appropriate tool for working with uncertainty and probability, that are typical of real-life applications. In literature we find different approaches for b...
NIPS
2004
13 years 6 months ago
2004
Classification algorithms typically induce population-wide models that are trained to perform well on average on expected future instances. We introduce a Bayesian framework for l...
TKDE
2010
13 years 3 months ago
2010
—Local classifiers are sometimes called lazy learners because they do not train a classifier until presented with a test sample. However, such methods are generally not complet...