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» Chunking with Decision Trees
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92
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DIS
2008
Springer
15 years 2 months ago
Ensemble-Trees: Leveraging Ensemble Power Inside Decision Trees
Decision trees are among the most effective and interpretable classification algorithms while ensembles techniques have been proven to alleviate problems regarding over-fitting and...
Albrecht Zimmermann
110
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ECML
2007
Springer
15 years 4 months ago
Seeing the Forest Through the Trees: Learning a Comprehensible Model from an Ensemble
Abstract. Ensemble methods are popular learning methods that usually increase the predictive accuracy of a classifier though at the cost of interpretability and insight in the deci...
Anneleen Van Assche, Hendrik Blockeel
SAC
2002
ACM
15 years 3 days ago
Decision tree classification of spatial data streams using Peano Count Trees
Many organizations have large quantities of spatial data collected in various application areas, including remote sensing, geographical information systems (GIS), astronomy, compu...
Qiang Ding, Qin Ding, William Perrizo
87
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COLT
2003
Springer
15 years 5 months ago
Learning Random Log-Depth Decision Trees under the Uniform Distribution
We consider three natural models of random logarithmic depth decision trees over Boolean variables. We give an efficient algorithm that for each of these models learns all but an ...
Jeffrey C. Jackson, Rocco A. Servedio
PAAPP
2006
85views more  PAAPP 2006»
15 years 11 days ago
A new metric splitting criterion for decision trees
Abstract: We examine a new approach to building decision tree by introducing a geometric splitting criterion, based on the properties of a family of metrics on the space of partiti...
Dan A. Simovici, Szymon Jaroszewicz