Innovations in machine learning : theory and applications
Machine learning is currently one of the most rapidly growing areas of research in computer science. In compiling this volume we have brought together contributions from some of the most prestigious researchers in this field. This book covers the three main learning systems; symbolic learning, neura...
Enregistré dans:
| Andre forfattere: | , , |
|---|---|
| Format: | Livre numérique |
| Sprog: | Anglais |
| Udgivet: |
Berlin ; Heidelberg :
Springer
[20..].
Cham : Springer Nature |
| Serier: | Studies in fuzziness and soft computing
vol. 194 Studies in Fuzziness and Soft Computing 194 |
| Fag: | |
| Online adgang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Kommentar: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Innovations in Machine Learning, Texte imprimé, 9783540306092 • Innovations in Machine Learning, Texte imprimé, 9783642067884 • Innovations in Machine Learning, Texte imprimé, 9783540818236 • Innovations in Machine Learning, Texte imprimé, 9783540306092 • Innovations in Machine Learning, Texte imprimé, 9783642067884 • Innovations in Machine Learning, Texte imprimé, 9783540818236 • Innovations in Machine Learning, Texte imprimé, 9783540306092 |
Indholdsfortegnelse:
- A Bayesian Approach to Causal Discovery A Tutorial on Learning Causal Influence Learning Based Programming N-1 Experiments Suffice to Determine the Causal Relations Among N Variables Support Vector Inductive Logic Programming Neural Probabilistic Language Models Computational Grammatical Inference On Kernel Target Alignment The Structure of Version Space