2898 search results - page 34 / 580 » Ensemble Methods in Machine Learning |
ADBIS
2003
Springer
14 years 1 months ago
2003
Springer
Recent research has shown the integration of multiple classifiers to be one of the most important directions in machine learning and data mining. It was shown that, for an ensemble...
PKDD
2004
Springer
14 years 1 months ago
2004
Springer
A crucial issue for Machine Learning and Data Mining is Feature Selection, selecting the relevant features in order to focus the learning search. A relaxed setting for Feature Sele...
SETN
2004
Springer
14 years 1 months ago
2004
Springer
In this paper the problem of music performer verification is introduced. Given a certain performance of a musical piece and a set of candidate pianists the task is to examine wheth...
ALT
2006
Springer
14 years 4 months ago
2006
Springer
Abstract. We propose a thresholded ensemble model for ordinal regression problems. The model consists of a weighted ensemble of confidence functions and an ordered vector of thres...
AAAI
2008
13 years 10 months ago
2008
It is well-known that diversity among base classifiers is crucial for constructing a strong ensemble. Most existing ensemble methods obtain diverse individual learners through res...