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[Lecture Notes in Computer Science] Advanced Lectures on Machine Learning Volume 3176 || Unsupervised Learning

✍ Scribed by Bousquet, Olivier; von Luxburg, Ulrike; Rätsch, Gunnar


Book ID
120593878
Publisher
Springer Berlin Heidelberg
Year
2004
Tongue
German
Weight
419 KB
Category
Article
ISBN
3540286500

No coin nor oath required. For personal study only.

✦ Synopsis


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.


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Machine Learning has become a key enabling technology for many engineering applications and theoretical problems alike. To further discussions and to dis- minate new results, a Summer School was held on February 11–22, 2002 at the Australian National University. The current book contains a collectio