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ECML
2003
Springer
14 years 2 months ago
2003
Springer
Abstract. Tree induction methods and linear models are popular techniques for supervised learning tasks, both for the prediction of nominal classes and continuous numeric values. F...
ILP
2003
Springer
14 years 2 months ago
2003
Springer
Boosting has established itself as a successful technique for decreasing the generalization error of classification learners by basing predictions on ensembles of hypotheses. Whil...
COLT
1999
Springer
14 years 1 months ago
1999
Springer
—Support vector (SV) machines are linear classifiers that use the maximum margin hyperplane in a feature space defined by a kernel function. Until recently, the only bounds on th...
ECAL
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. An important goal in cognitive development research is an understanding of the real-world physical and social environment in which learning takes place. However, the rele...
ATAL
2006
Springer
14 years 26 days ago
2006
Springer
This paper studies scalable data delivery algorithms in mobile ad hoc sensor networks with node and link failures. Many algorithms have been developed for data delivery and fusion...