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ROCAI
2004
Springer
13 years 11 months ago
An Empirical Evaluation of Supervised Learning for ROC Area
We present an empirical comparison of the AUC performance of seven supervised learning methods: SVMs, neural nets, decision trees, k-nearest neighbor, bagged trees, boosted trees,...
Rich Caruana, Alexandru Niculescu-Mizil
TFS
2011
194views Education» more  TFS 2011»
13 years 22 days ago
Top-Down Induction of Fuzzy Pattern Trees
Fuzzy pattern tree induction was recently introduced as a novel machine learning method for classification. Roughly speaking, a pattern tree is a hierarchical, tree-like structur...
R. Senge, Eyke Hüllermeier
BMCBI
2010
160views more  BMCBI 2010»
13 years 24 days ago
eHive: An Artificial Intelligence workflow system for genomic analysis
Background: The Ensembl project produces updates to its comparative genomics resources with each of its several releases per year. During each release cycle approximately two week...
Jessica Severin, Kathryn Beal, Albert J. Vilella, ...
CORR
2002
Springer
84views Education» more  CORR 2002»
13 years 5 months ago
Evaluating the Effectiveness of Ensembles of Decision Trees in Disambiguating Senseval Lexical Samples
This paper presents an evaluation of an ensemble
Ted Pedersen
MCS
2002
Springer
13 years 5 months ago
Stacking with Multi-response Model Trees
We empirically evaluate several state-of-the-art methods for constructing ensembles of classifiers with stacking and show that they perform (at best) comparably to selecting the be...
Saso Dzeroski, Bernard Zenko