« Langage d'hypothèses » : différence entre les versions
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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. | 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}). | class1 ← size=large and colour in {red, orange}). | ||
Version du 18 mai 2021 à 08:01
construction
Définition
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}).
Français
langage d'hypothèses
Anglais
hypothesis language
Contributeurs: Claire Gorjux, Jean Benoît Morel, wiki
