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PPSN
2010
Springer
13 years 7 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
SIGMOD
1999
ACM
122views Database» more  SIGMOD 1999»
14 years 28 days ago
BOAT-Optimistic Decision Tree Construction
Classification is an important data mining problem. Given a training database of records, each tagged with a class label, the goal of classification is to build a concise model ...
Johannes Gehrke, Venkatesh Ganti, Raghu Ramakrishn...
DDECS
2008
IEEE
185views Hardware» more  DDECS 2008»
14 years 3 months ago
Fast Boolean Minimizer for Completely Specified Functions
: We propose a simple and fast two-level minimization algorithm for completely specified functions in this paper. The algorithm is based on processing ternary trees. A ternary tree...
Petr Fiser, Pemysl Rucký, Irena Vanov&aacut...
ITA
2007
101views Communications» more  ITA 2007»
13 years 8 months ago
Learning tree languages from text
We study the problem of learning regular tree languages from text. We show that the framework of function distinguishability as introduced by the author in Theoretical Computer Sc...
Henning Fernau
AUSAI
2004
Springer
14 years 2 months ago
MML Inference of Oblique Decision Trees
We propose a multivariate decision tree inference scheme by using the minimum message length (MML) principle (Wallace and Boulton, 1968; Wallace and Dowe, 1999). The scheme uses MM...
Peter J. Tan, David L. Dowe