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» Learning DNF by Decision Trees
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KDD
2007
ACM
177views Data Mining» more  KDD 2007»
15 years 10 months ago
Mining optimal decision trees from itemset lattices
We present DL8, an exact algorithm for finding a decision tree that optimizes a ranking function under size, depth, accuracy and leaf constraints. Because the discovery of optimal...
Élisa Fromont, Siegfried Nijssen
DIAGRAMS
2004
Springer
15 years 3 months ago
Decision Diagrams in Machine Learning: An Empirical Study on Real-Life Credit-Risk Data
Decision trees are a widely used knowledge representation in machine learning. However, one of their main drawbacks is the inherent replication of isomorphic subtrees, as a result...
Christophe Mues, Bart Baesens, Craig M. Files, Jan...
AEI
2006
253views more  AEI 2006»
14 years 10 months ago
Computer based pedestrian landscape design using decision tree templates
Machine Learning algorithms can act as a valuable analytical tool in design research. In this paper, we demonstrate the application of a decision tree learning algorithm for desig...
Baranidharan Raman, Jody R. Naderi
ML
2000
ACM
14 years 9 months ago
Enlarging the Margins in Perceptron Decision Trees
Capacity control in perceptron decision trees is typically performed by controlling their size. We prove that other quantities can be as relevant to reduce their flexibility and co...
Kristin P. Bennett, Nello Cristianini, John Shawe-...
ICML
1990
IEEE
15 years 1 months ago
An Incremental Method for Finding Multivariate Splits for Decision Trees
Decision trees that are limited to testing a single variable at a node are potentially much larger than trees that allow testing multiple variables at a node. This limitation redu...
Paul E. Utgoff, Carla E. Brodley