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KDD
2003
ACM
243views Data Mining» more  KDD 2003»
14 years 9 months ago
Accurate decision trees for mining high-speed data streams
In this paper we study the problem of constructing accurate decision tree models from data streams. Data streams are incremental tasks that require incremental, online, and any-ti...
João Gama, Pedro Medas, Ricardo Rocha
ML
2006
ACM
163views Machine Learning» more  ML 2006»
13 years 8 months ago
Extremely randomized trees
Abstract This paper proposes a new tree-based ensemble method for supervised classification and regression problems. It essentially consists of randomizing strongly both attribute ...
Pierre Geurts, Damien Ernst, Louis Wehenkel
IJPRAI
2002
93views more  IJPRAI 2002»
13 years 8 months ago
Improving Stability of Decision Trees
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...
Mark Last, Oded Maimon, Einat Minkov
CAI
2010
Springer
13 years 3 months ago
A Comparison of Decision Tree Classifiers for Automatic Diagnosis of Speech Recognition Errors
Present speech recognition systems are becoming more complex due to technology advances, optimizations and special requirements such as small computation and memory footprints. Pro...
Milos Cernak
SIAMNUM
2010
123views more  SIAMNUM 2010»
13 years 3 months ago
Critical Analysis of the Spanning Tree Techniques
Two algorithms based upon a tree-cotree decomposition, called in this paper spanning tree technique (STT) and generalized spanning tree technique (GSTT), have been shown to be usef...
Pawel Dlotko, Ruben Specogna