Emerging Paradigms in Machine Learning
This book presents fundamental topics and algorithms that form the core of machine learning (ML) research, as well as emerging paradigms in intelligent system design. The multidisciplinary nature of machine learning makes it a very fascinating and popular area for research. The book is aiming at...
Gorde:
| Beste egile batzuk: | , , |
|---|---|
| Formatua: | Livre numérique |
| Hizkuntza: | Anglais |
| Argitaratua: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edizioa: | 1st ed. 2013. |
| Saila: | Smart Innovation, Systems and Technologies
13 |
| Sarrera elektronikoa: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Oharra: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Emerging Paradigms in Machine Learning, Texte imprimé, 9783642286988 • Emerging Paradigms in Machine Learning, Texte imprimé, 9783642287008 • Emerging Paradigms in Machine Learning, Texte imprimé, 9783642435744 • Emerging Paradigms in Machine Learning, Texte imprimé, 9783642286988 |
| LEADER | 03609nam a22003857a 4500 | ||
|---|---|---|---|
| 001 | 949913 | ||
| 008 | 130325q2000 xx ||| |||| 00| 0 eng d | ||
| 009 | PPN168312581 | ||
| 020 | |a 9783642286995 | ||
| 041 | 0 | |a eng | |
| 082 | |a 006.3 | ||
| 245 | 0 | 0 | |a Emerging Paradigms in Machine Learning |c edited by Sheela Ramanna, Lakhmi C Jain, Robert J. Howlett. |
| 250 | |a 1st ed. 2013. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Smart Innovation, Systems and Technologies |v 13 |x 2190-3026 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a From the content: Emerging Paradigms in Machine Learning: An Introduction Extensions of Dynamic Programming as a New Tool for Decision Tree Optimization Optimised information abstraction in granular Min/Max clustering Mining Incomplete Data A Rough Set Approach Roles Played by Bayesian Networks in Machine Learning: An Empirical Investigation | |
| 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 This book presents fundamental topics and algorithms that form the core of machine learning (ML) research, as well as emerging paradigms in intelligent system design. The multidisciplinary nature of machine learning makes it a very fascinating and popular area for research. The book is aiming at students, practitioners and researchers and captures the diversity and richness of the field of machine learning and intelligent systems. Several chapters are devoted to computational learning models such as granular computing, rough sets and fuzzy sets An account of applications of well-known learning methods in biometrics, computational stylistics, multi-agent systems, spam classification including an extremely well-written survey on Bayesian networks shed light on the strengths and weaknesses of the methods. Practical studies yielding insight into challenging problems such as learning from incomplete and imbalanced data, pattern recognition of stochastic episodic events and on-line mining of non-stationary data streams are a key part of this book. | ||
| 700 | 1 | |a Ramanna, Sheela. |4 edt | |
| 700 | 1 | |a Jain, Lakhmi C., |d 1946- |4 edt | |
| 700 | 1 | |a Howlett, Robert J. |4 edt | |
| 776 | 0 | |t Emerging Paradigms in Machine Learning |b Texte imprimé |z 9783642286988 | |
| 776 | 0 | |t Emerging Paradigms in Machine Learning |b Texte imprimé |z 9783642287008 | |
| 776 | 0 | |t Emerging Paradigms in Machine Learning |b Texte imprimé |z 9783642435744 | |
| 776 | 0 | |t Emerging Paradigms in Machine Learning |b Texte imprimé |z 9783642286988 | |
| 856 | 4 | |q PDF |u https://doi.org/10.1007/978-3-642-28699-5 |z Accès sur la plateforme de l'éditeur | |
| 856 | 4 | |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-G25TDX42-R |z Accès sur la plateforme Istex | |
| 856 | 4 | |5 452349901:748080570 |u https://ezproxy.univ-orleans.fr/login?url=https://dx.doi.org/10.1007/978-3-642-28699-5 |z Accès Université d'Orléans | |
| 856 | 4 | |5 180339901:751532789 |u https://ezproxy.insa-cvl.fr/login?qurl=https://dx.doi.org/10.1007/978-3-642-28699-5 |z Accès INSA CVL | |
| 997 | |0 949913 |1 Livre numérique |a Ressource numérique |b INSA |b ENSA |c 0/Bibliothèque numérique/ |c 1/Bibliothèque numérique/Autre ressource numérique/ | ||