156 search results - page 3 / 32 » Ensembles of Classifiers from Spatially Disjoint Data |
ICTAI
2005
IEEE
13 years 11 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...
ICPR
2008
IEEE
14 years 7 months ago
2008
IEEE
Ensemble of Classifiers (EoC) has been shown effective in improving the performance of single classifiers by combining their outputs. By using diverse data subsets to train classi...
BMCBI
2010
13 years 5 months ago
2010
Background: Generally speaking, different classifiers tend to work well for certain types of data and conversely, it is usually not known a priori which algorithm will be optimal ...
DEXAW
1999
IEEE
13 years 10 months ago
1999
IEEE
The results of knowledge discovery in databases could vary depending on the data mining method. There are several ways to select the most appropriate data mining method dynamicall...
FUZZIEEE
2007
IEEE
13 years 9 months ago
2007
IEEE
The use of bagging is explored to create an ensemble of fuzzy classifiers. The learning algorithm used was ANFIS (Adaptive Neuro-Fuzzy Inference Systems). We compare results from b...