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...
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| Altri autori: | , , |
|---|---|
| Natura: | Livre numérique |
| Lingua: | Anglais |
| Pubblicazione: |
Berlin ; Heidelberg :
Springer
[20..].
Cham : Springer Nature |
| Serie: | Studies in fuzziness and soft computing
vol. 194 Studies in Fuzziness and Soft Computing 194 |
| Soggetti: | |
| Accesso online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
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 |
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| 245 | 0 | 0 | |a Innovations in machine learning : |b theory and applications |c Dawn E. Holmes, Lakhmi C. Jain (eds) ; foreword by Andrew Kusiak. |
| 260 | |a Berlin ; |a Heidelberg : |b Springer. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 1 | |a Studies in fuzziness and soft computing |v vol. 194 | |
| 490 | 0 | |a Studies in Fuzziness and Soft Computing |v 194 |x 1860-0808 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 504 | |a Références bibliogr. en fin de chapitres. Index | ||
| 505 | 1 | |a 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 | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a 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, neural networks and genetic algorithms as well as providing a tutorial on learning casual influences. Each of the nine chapters is self-contained. Both theoreticians and application scientists/engineers in the broad area of artificial intelligence will find this volume valuable. It also provides a useful sourcebook for Postgraduate since it shows the direction of current research | ||
| 650 | |a Apprentissage automatique |x Innovation | ||
| 700 | 1 | |a Holmes, Dawn E., |d 19..- |4 edt | |
| 700 | 1 | |a Jain, Lakhmi C., |d 1946- |4 edt | |
| 700 | 1 | |a Kusiak, Andrew, |d 1949- |4 aui | |
| 776 | 0 | |t Innovations in Machine Learning |b Texte imprimé |z 9783540306092 | |
| 776 | 0 | |t Innovations in Machine Learning |b Texte imprimé |z 9783642067884 | |
| 776 | 0 | |t Innovations in Machine Learning |b Texte imprimé |z 9783540818236 | |
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| 776 | 0 | |t Innovations in Machine Learning |b Texte imprimé |z 9783540306092 | |
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