Hypothesis language


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hypothesis language

Term used in analysing machine learning methods. The hypothesis language refers to the notation used by the learning method to represent what it has learned so far. For example, in ID3, the hypothesis language would be the notation used to represent the decision tree (including partial descriptions of incomplete decision trees). In backprop, the hypothesis language would be the notation used to represent the current set of weights. In Aq, the hypothesis language would be the notation used to represent the class descriptions (e.g.

class1 ← size=large and colour in {red, orange}).

See also observation language.

Source : INWS machine learning dictionary ]