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142
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PAKDD
2010
ACM
212views Data Mining» more  PAKDD 2010»
15 years 9 months ago
Fast Perceptron Decision Tree Learning from Evolving Data Streams
Abstract. Mining of data streams must balance three evaluation dimensions: accuracy, time and memory. Excellent accuracy on data streams has been obtained with Naive Bayes Hoeffdi...
Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer...
STOC
1996
ACM
92views Algorithms» more  STOC 1996»
15 years 8 months ago
Constructing Evolutionary Trees in the Presence of Polymorphic Characters
Abstract. Most phylogenetics literature and construction methods based upon characters presume monomorphism (one state per character per species), yet polymorphism (multiple states...
Maria Luisa Bonet, Cynthia A. Phillips, Tandy Warn...
ECML
2007
Springer
15 years 8 months ago
Ensembles of Multi-Objective Decision Trees
Abstract. Ensemble methods are able to improve the predictive performance of many base classifiers. Up till now, they have been applied to classifiers that predict a single target ...
Dragi Kocev, Celine Vens, Jan Struyf, Saso Dzerosk...
FLOPS
2004
Springer
15 years 8 months ago
Analysing Definitional Trees: Looking for Determinism
Abstract. This paper describes how high level implementations of (needed) narrowing into Prolog can be improved by analysing definitional trees. First, we introduce a refined repre...
Pascual Julián Iranzo, Christian Villamizar...
121
Voted
ECML
2006
Springer
15 years 8 months ago
Cost-Sensitive Decision Tree Learning for Forensic Classification
Abstract. In some learning settings, the cost of acquiring features for classification must be paid up front, before the classifier is evaluated. In this paper, we introduce the fo...
Jason V. Davis, Jungwoo Ha, Christopher J. Rossbac...