2898 search results - page 30 / 580 » Ensemble Methods in Machine Learning |
141
Voted
ICDM
2010
IEEE
14 years 12 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)...
110
click to vote
PCM
2007
Springer
15 years 8 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...
134
click to vote
ROCAI
2004
Springer
15 years 7 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,...
111
click to vote
TKDE
2008
15 years 1 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...
116
click to vote
ICML
2009
IEEE
16 years 2 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...