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...
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| Autores Corporativos: | , |
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| Otros Autores: | , , |
| Formato: | Livre numérique |
| Lenguaje: | Anglais |
| Publicado: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Colección: | Lecture notes in computer science. Lecture notes in artificial intelligence
3176 |
| Materias: | |
| Acceso en línea: | 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: | • 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 |
Tabla de Contenidos:
- 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.