2898 search results - page 30 / 580 » Ensemble Methods in Machine Learning |
ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
Ensemble clustering has emerged as an important elaboration of the classical clustering problems. Ensemble clustering refers to the situation in which a number of different (input)...
PCM
2007
Springer
14 years 1 months ago
2007
Springer
A novel method for creating diverse ensembles of image classifiers is proposed. The idea is that, for each base image classifier in the ensemble, a random image transformation is g...
ROCAI
2004
Springer
14 years 1 months ago
2004
Springer
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,...
TKDE
2008
13 years 7 months ago
2008
We present a method for explaining predictions for individual instances. The presented approach is general and can be used with all classification models that output probabilities...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
There are well known algorithms for learning the structure of directed and undirected graphical models from data, but nearly all assume that the data consists of a single i.i.d. s...