222 search results - page 16 / 45 » Learning Optimal Parameters in Decision-Theoretic Rough Sets |
KDD
2010
ACM
14 years 14 days ago
2010
ACM
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
ICCS
2007
Springer
14 years 14 days ago
2007
Springer
Common techniques tackling the task of classification in data mining employ ansatz functions associated to training data points to fit the data as well as possible. Instead, the fe...
SIGECOM
2006
ACM
14 years 2 months ago
2006
ACM
Our proposed methods employ learning and search techniques to estimate outcome features of interest as a function of mechanism parameter settings. We illustrate our approach with ...
ICML
2005
IEEE
14 years 9 months ago
2005
IEEE
Classifiers that refrain from classification in certain cases can significantly reduce the misclassification cost. However, the parameters for such abstaining classifiers are ofte...
EUROGP
1999
Springer
14 years 26 days ago
1999
Springer
Abstract We consider a form of phenotype plasticity in Genetic Programming (GP). This takes the form of a set of real-valued numerical parameters associated with each individual, a...