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DIS
2001
Springer
15 years 2 months ago
Functional Trees
In the context of classification problems, algorithms that generate multivariate trees are able to explore multiple representation languages by using decision tests based on a com...
Joao Gama
CCECE
2006
IEEE
15 years 3 months ago
Breast Cancer Prognosis via Gaussian Mixture Regression
This paper compares the performance of classification and regression trees (CART), multivariate adaptive regression splines (MARS), and a Gaussian mixture regressor (GMR) method ...
Tiago H. Falk, Hagit Shatkay, Wai-Yip Chan
ICRA
2006
IEEE
85views Robotics» more  ICRA 2006»
15 years 3 months ago
Design of Classifier to Automate the Evaluation of Protein Crystallization States
– This paper presents a method for designing classifier to automate an evaluation process of protein crystallization growth states. The classifier is designed by binary decision ...
Kanako Saitoh, Kuniaki Kawabata, Hajime Asama, Tak...
DIS
2008
Springer
14 years 11 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
ICML
2006
IEEE
15 years 10 months ago
An empirical comparison of supervised learning algorithms
A number of supervised learning methods have been introduced in the last decade. Unfortunately, the last comprehensive empirical evaluation of supervised learning was the Statlog ...
Rich Caruana, Alexandru Niculescu-Mizil