About:
The EnsembleSVM library offers functionality to perform ensemble learning using Support Vector Machine (SVM) base models. In particular, we offer routines for binary ensemble models using SVM base classifiers. Experimental results have shown the predictive performance to be comparable with standard SVM models but with drastically reduced training time. Ensemble learning with SVM models is particularly useful for semi-supervised tasks.
Changes:
Fixed bug in IndexedFile, which caused esvm-train to fail when used without bootstrap mask.
Library API/ABI remain unchanged, library revision increased.
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- Operating System:
Linux,
Posix,
Mac Os X,
Windows Under Cygwin,
Ubuntu
- Data Formats:
Csv,
Libsvm Format
- Tags:
Support Vector Machine,
Kernel,
Classification,
Large Scale Learning,
Libsvm,
Bagging,
Ensemble Learning
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