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Statistical classification is the problem of identifying the sub-population to which new observations belong, where the identity of the sub-population is unknown, on the basis of a training set of data containing observations whose sub-population is known. Therefore these classifications will show a variable behavior which can be studied by statistics.
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Nonlinear Dynamic Online Classification: Looking for an Algorithm
If you want it to be a non-linear model, how about a simple neural network with two input neurons, and the output layer having the number of labels possible (or if you are using a regression model, us …
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Novelty and Outlier Detection for Multi-label Data
As far as I know, using a one-class SVM could be used to detect outliers, if you can define what the outliers (or conversely normal data) would look like. In that case, you can train an SVM with label …
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Association rules or classifier for product modeling for queries
A decision tree induction is good, but you have to make sure what is good and what is not good. For instance, if you need a certain confidence threshold, you could calculate the weighted average with …