254 search results - page 11 / 51 » Multi-interval Discretization Methods for Decision Tree Lear... |
SAC
2006
ACM
14 years 1 months ago
2006
ACM
We propose a method for induction of compact optimal recommendation policies based on discovery of frequent itemsets in a purchase database, followed by the application of standar...
ROCAI
2004
Springer
14 years 29 days ago
2004
Springer
We present an empirical comparison of the AUC performance of seven supervised learning methods: SVMs, neural nets, decision trees, k-nearest neighbor, bagged trees, boosted trees,...
IFIP12
2008
13 years 9 months ago
2008
Sampling methods are a direct approach to tackle the problem of class imbalance. These methods sample a data set in order to alter the class distributions. Usually these methods ar...
IJPRAI
2002
13 years 7 months ago
2002
Decision-tree algorithms are known to be unstable: small variations in the training set can result in different trees and different predictions for the same validation examples. B...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
A number of supervised learning methods have been introduced in the last decade. Unfortunately, the last comprehensive empirical evaluation of supervised learning was the Statlog ...