42 search results - page 2 / 9 » A Comparison of Ensemble Creation Techniques |
ICAI
2004
13 years 9 months ago
2004
-- Combination of multiple clusterings is an important task in the area of unsupervised learning. Inspired by the success of supervised bagging algorithms, we propose a resampling ...
IWANN
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. In Machine Learning, ensembles are combination of classifiers. Their objective is to improve the accuracy. In previous works, we have presented a method for the generati...
ICTAI
2005
IEEE
14 years 1 months ago
2005
IEEE
Learning from noisy data is a challenging and reality issue for real-world data mining applications. Common practices include data cleansing, error detection and classifier ensemb...
ICANN
2007
Springer
14 years 1 months ago
2007
Springer
Topology preserving mappings are great tools for data visualization and inspection in large datasets. This research presents a combination of several topology preserving mapping mo...
ESANN
2006
13 years 9 months ago
2006
Regression Error Characteristic (REC) analysis is a technique for evaluation and comparison of regression models that facilitates the visualization of the performance of many regre...