premise: Pattern recognition systems are trained from labeled "training" data.
hypothesis: Pattern recognition . Pattern recognition systems are in many cases trained from labeled `` training '' data ( supervised learning ) , but when no labeled data are available other algorithms can be used to discover previously unknown patterns ( unsupervised learning ) .