concept training example in category machine learning
appears as: training examples, training examples, training example
This is an excerpt from Manning's book Ensemble Methods for Machine Learning MEAP V01.
SVMs identify “support vectors”, a smaller working set of training examples that the model depends on. Counting the number of support vectors is not an effective way to measure of model complexity as small values of C restrict the model more, forcing it to use more support vectors in the final model.
Figure 2.2 Bagging, illustrated. Bagging uses bootstrap sampling to generate similar but not exactly identical subsets (observe the replicates above) from a single data set. Models are trained on each of these subsets resulting in similar but not exactly identical base estimators. During prediction, the individual base estimator predictions are aggregated into a final ensemble prediction. Also observe that training examples may repeat in the replicated subsets; this is a consequence of bootstrap sampling.
