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2017-11-22
Machine Learning: A Constraint-Based Approach - de Dr. Marco Gori (Author)
Caractéristiques Machine Learning: A Constraint-Based Approach
Les données suivantes contient des points de base relatives aux Machine Learning: A Constraint-Based Approach
| Le Titre Du Livre | Machine Learning: A Constraint-Based Approach |
| Publié Le | 2017-11-22 |
| Traducteur | Ghala Lilley |
| Chiffre de Pages | 231 Pages |
| La taille du fichier | 40.18 MB |
| Langue du Livre | Français & Anglais |
| Éditeur | Marval |
| ISBN-10 | 5191863378-ZQU |
| Type de Livre | PDF EPub AMZ LIT ODOC |
| Créateur | Dr. Marco Gori |
| EAN | 279-2925736457-BFR |
| Nom de Fichier | Machine-Learning-A-Constraint-Based-Approach.pdf |
Télécharger Machine Learning: A Constraint-Based Approach Livre PDF Gratuit
Machine Learning A ConstraintBased Approach provides readers with a refreshing look at the basic models and algorithms of machine learning with an emphasis on current topics of interest that includes neural networks and kernel machines
Machine Learning A ConstraintBased Approach provides readers with a refreshing look at the basic models and algorithms of machine learning with an emphasis on current topics of interest that includes neural networks and kernel machines
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3 Informatique ERTEL W Introduction to artificial intelligence Springer cop 2017 36 ERT salle Pierre et Marie Curie GORI M Machine learning a constraintbased approach Elsevier cop 2018
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We review the main approaches based on PGMs for multilabel classification Probabilistic Classifier Chain Conditional Dependency Network Bayesian Network Classifier Conditional Random Field SumProduct Network and propose a generic approach inspired from constraintbased structure learning methods to identify the unique partition of the label set into irreducible label factors ILFs
Machine learning encompasses a vast set of conceptual approaches We classify the three main algorithmic methods based on mathematical foundations to guide your exploration for developing models