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ISMIS
2011
Springer
12 years 7 months ago
An Evolutionary Algorithm for Global Induction of Regression Trees with Multivariate Linear Models
In the paper we present a new evolutionary algorithm for induction of regression trees. In contrast to the typical top-down approaches it globally searches for the best tree struct...
Marcin Czajkowski, Marek Kretowski
PPSN
2010
Springer
13 years 3 months ago
Globally Induced Model Trees: An Evolutionary Approach
In the paper we propose a new evolutionary algorithm for induction of univariate regression trees that associate leaves with simple linear regression models. In contrast to typical...
Marcin Czajkowski, Marek Kretowski
ICAISC
2010
Springer
13 years 9 months ago
An Evolutionary Algorithm for Global Induction of Regression Trees
In the paper a new evolutionary algorithm for induction of univariate regression trees is proposed. In contrast to typical top-down approaches it globally searches for the best tre...
Marek Kretowski, Marcin Czajkowski
ICDM
2009
IEEE
146views Data Mining» more  ICDM 2009»
13 years 11 months ago
Induction of Mean Output Prediction Trees from Continuous Temporal Meteorological Data
: In this paper, we present a novel method for fast data-driven construction of regression trees from temporal datasets including continuous data streams. The proposed Mean Output ...
Dima Alberg, Mark Last, Roni Neuman, Avi Sharon
DIS
2001
Springer
13 years 9 months ago
Functional Trees
In the context of classification problems, algorithms that generate multivariate trees are able to explore multiple representation languages by using decision tests based on a com...
Joao Gama