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JMLR
2002
102views more  JMLR 2002»
15 years 4 months ago
Efficient Algorithms for Decision Tree Cross-validation
Cross-validation is a useful and generally applicable technique often employed in machine learning, including decision tree induction. An important disadvantage of straightforward...
Hendrik Blockeel, Jan Struyf
FOCM
2006
76views more  FOCM 2006»
15 years 4 months ago
The Hopf Algebra of Rooted Trees, Free Lie Algebras, and Lie Series
We present an approach that allows performing computations related to the Baker-Campbell-Haussdorff (BCH) formula and its generalizations in an arbitrary Hall basis, using labeled...
A. Murua
BMCBI
2010
143views more  BMCBI 2010»
15 years 4 months ago
ETE: a python Environment for Tree Exploration
Background: Many bioinformatics analyses, ranging from gene clustering to phylogenetics, produce hierarchical trees as their main result. These are used to represent the relations...
Jaime Huerta-Cepas, Joaquín Dopazo, Toni Ga...
ILP
1997
Springer
15 years 8 months ago
A Logical Framework for Graph Theoretical Decision Tree Learning
Abstract. We present a logical approach to graph theoretical learning that is based on using alphabetic substitutions for modelling graph morphisms. A classi ed graph is represente...
Peter Geibel, Fritz Wysotzki
KBSE
2007
IEEE
15 years 11 months ago
Test suite reduction and prioritization with call trees
This paper presents a tool that (i) constructs tree-based models of a program’s behavior during testing and (ii) employs these trees while reordering and reducing a test suite. ...
Adam M. Smith, Joshua Geiger, Gregory M. Kapfhamme...