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IDA
2009
Springer
13 years 2 months ago
Isotonic Classification Trees
Abstract. We propose a new algorithm for learning isotonic classification trees. It relabels non-monotone leaf nodes by performing the isotonic regression on the collection of leaf...
Rémon van de Kamp, Ad Feelders, Nicola Bari...
WWW
2008
ACM
14 years 5 months ago
Enhanced hierarchical classification via isotonic smoothing
Hierarchical topic taxonomies have proliferated on the World Wide Web [5, 18], and exploiting the output space decompositions they induce in automated classification systems is an...
Kunal Punera, Joydeep Ghosh
LATIN
2010
Springer
13 years 11 months ago
Lipschitz Unimodal and Isotonic Regression on Paths and Trees
Abstract. We describe algorithms for finding the regression of t, a sequence of values, to the closest sequence s by mean squared error, so that s is always increasing (isotonicit...
Pankaj K. Agarwal, Jeff M. Phillips, Bardia Sadri
ICMLA
2008
13 years 6 months ago
Calibrating Random Forests
When using the output of classifiers to calculate the expected utility of different alternatives in decision situations, the correctness of predicted class probabilities may be of...
Henrik Boström
ICML
2006
IEEE
14 years 5 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