Advanced lectures on machine learning : ML Summer Schools 2003, Canberra, Australia, February 2-14, 2003, Tübingen, Germany, August 4-16, 2003 : revised lectures

Machine Learning has become a key enabling technology for many engineering applications, investigating scientific questions and theoretical problems alike. To stimulate discussions and to disseminate new results, a summer school series was started in February 2002, the documentation of which is publ...

Full beskrivning

Sparad:
Bibliografiska uppgifter
Institutionella upphovsmän: Machine Learning Summer School :Canberra, AU, Machine Learning Summer School (Författare, medförfattare)
Övriga upphovsmän: Bousquet, Olivier, 19..-...., acteur (Chefredaktör, huvudredaktör), Luxburg, Ulrike von (Chefredaktör, huvudredaktör), Rätsch, Gunnar (Chefredaktör, huvudredaktör)
Materialtyp: Livre numérique
Språk:Anglais
Publicerad: Berlin [etc.] : Springer [20..].
Cham : Springer Nature
Serie:Lecture notes in computer science. Lecture notes in artificial intelligence 3176
Ämnen:
Länkar:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Anmärkning: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Advanced lectures on machine learning, ML Summer Schools 2003, Canberra, Australia, February 2-14, 2003, Tübingen, Germany, August 4-16, 2003, revised lectures, Olivier Bousquet, Ulrike von Luxburg, Gunnar Rätsch (eds.), Berlin, Springer, 2004, 1 vol. (240 p.), Lecture notes in computer science, 3-540-23122-6
• Advanced Lectures on Machine Learning, Texte imprimé, 9783662185483
LEADER 03993nam a22004457a 4500
001 971462
008 110927q2000 xxe ||| |||| 00| 0 eng d
009 PPN155207555
020 |a 9783540286509 (PDF) 
041 0 |a eng 
082 |a 004 
111 2 |a Machine Learning Summer School  |d (2003  |c  :Canberra, AU). 
245 1 0 |a Advanced lectures on machine learning :  |b ML Summer Schools 2003, Canberra, Australia, February 2-14, 2003, Tübingen, Germany, August 4-16, 2003 : revised lectures   |c [edited by] Olivier Bousquet, Ulrike Luxburg, Gunnar Rätsch. 
260 |a Berlin [etc.] :  |b Springer. 
260 |a Cham :  |b Springer Nature,  |c [20..]. 
490 0 |a Lecture notes in computer science. Lecture notes in artificial intelligence  |v 3176  |x 1611-3349  |x 2945-9141 
500 |a Archives Springer e-books (Licence nationale) 
500 |a Archives Springer e-books (Licence nationale) 
505 0 |a An Introduction to Pattern Classification -- Some Notes on Applied Mathematics for Machine Learning -- Bayesian Inference: An Introduction to Principles and Practice in Machine Learning -- Gaussian Processes in Machine Learning -- Unsupervised Learning -- Monte Carlo Methods for Absolute Beginners -- Stochastic Learning -- to Statistical Learning Theory -- Concentration Inequalities. 
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 has become a key enabling technology for many engineering applications, investigating scientific questions and theoretical problems alike. To stimulate discussions and to disseminate new results, a summer school series was started in February 2002, the documentation of which is published as LNAI 2600. This book presents revised lectures of two subsequent summer schools held in 2003 in Canberra, Australia, and in Tübingen, Germany. The tutorial lectures included are devoted to statistical learning theory, unsupervised learning, Bayesian inference, and applications in pattern recognition; they provide in-depth overviews of exciting new developments and contain a large number of references. Graduate students, lecturers, researchers and professionals alike will find this book a useful resource in learning and teaching machine learning. 
650 |a Informatique 
650 |a Apprentissage automatique 
650 |a Algorithmes 
650 |a Intelligence artificielle 
650 |a Perception des structures 
650 |a Actes de congrès 
700 1 |a Bousquet, Olivier,  |d 19..-....,  |c acteur.  |4 pbd 
700 1 |a Luxburg, Ulrike von.  |4 pbd 
700 1 |a Rätsch, Gunnar.  |4 pbd 
711 2 |a Machine Learning Summer School  |d (2003  |c  :Tübingen, DE).  |4 aut 
776 0 |0 082399492  |t Advanced lectures on machine learning  |o ML Summer Schools 2003, Canberra, Australia, February 2-14, 2003, Tübingen, Germany, August 4-16, 2003  |o revised lectures  |f Olivier Bousquet, Ulrike von Luxburg, Gunnar Rätsch (eds.)  |c Berlin  |n Springer  |d 2004  |p 1 vol. (240 p.)  |s Lecture notes in computer science  |z 3-540-23122-6 
776 0 |t Advanced Lectures on Machine Learning  |b Texte imprimé  |z 9783662185483 
856 4 |q PDF  |u https://doi.org/10.1007/b100712  |z Accès sur la plateforme de l'éditeur 
856 4 |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-65F7W20C-8  |z Accès sur la plateforme Istex 
856 4 |5 452349901:750652322  |u https://ezproxy.univ-orleans.fr/login?url=https://doi.org/10.1007/b100712  |z Accès Université d'Orléans 
856 4 |5 180339901:754002586  |u https://ezproxy.insa-cvl.fr/login?qurl=https://doi.org/10.1007/b100712  |z Accès INSA CVL 
997 |0 971462  |1 Livre numérique  |a Ressource numérique  |b INSA  |b ENSA  |c 0/Bibliothèque numérique/  |c 1/Bibliothèque numérique/Autre ressource numérique/