Apprentissage artificiel : Concepts et algorithmes by Antoine Cornuejols, Laurent Miclet, Yves Kodratoff, Tom

By Antoine Cornuejols, Laurent Miclet, Yves Kodratoff, Tom Mitchell

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Sample text

3 Calcul du gradient . . . . . . . . . . . . . . . . 4 Estimation d'une densite de probabilite en un point . . . . . . . . 5 L'estimation des parametres d'une distribution gaussienne . . . . . . . 6 Pourquoi et comment la regle du PPV converge-t-elle? . . . . . . . 1 Pourquoi? . . . . . . . . . . . . . . . . . . 2 Comment? . . . . . . . . . . . . . . . . . 7 Le calcul de l'intervalle de con ance de l'estimation de la probabilite d'une regle de classi cation .

1 Preliminaires . . . . . . . . . . . . . . . . . 2 Un exemple : les paires de rectangles . . . . . . . . . . . 3 Un ordre partiel sur l'espace des hypotheses . . . . . . . . . 4 Quelques operateurs de specialisation et de generalisation . . . . . 5 Quelques proprietes utiles d'un espace structure par une relation d'ordre partiel . . . . . . . . . . . . . . . . . . . 3 La construction de l'espace des versions . . . . .

3 Risque empirique et risque reel . . . . . . . . . . . . 4 La selection de modele en pratique . . . . . . . . . . . 5 L'estimation du risque reel d'une hypothese . . . . . . . . . 6 Le reglage des algorithmes par un ensemble de validation . . . . . 7 D'autres criteres d'appreciation .

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Apprentissage artificiel : Concepts et algorithmes by Antoine Cornuejols, Laurent Miclet, Yves Kodratoff, Tom
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