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Machine Learning Summer School (MLSS), Canberra 2002

Machine Learning Summer School (MLSS), Canberra 2002

10 Videos · Feb 10, 2002

About

Machine Learning is a foundational discipline of the Information Sciences. It combines deep theory from areas as diverse as Statistics, Mathematics, Engineering, and Information Technology with many practical and relevant real life applications. The aim of the summer school is to cover the entire spectrum from theory to practice. It is mainly targeted at research students, IT professionals, and academics from all over the world.

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Videos

Lectures

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01:34:27

Algorithms for Association Rules

Markus Hegland

calendar icon Feb 25, 2007 4422 views

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05:09:25

Reinforcement Learning

Peter L. Bartlett

calendar icon Feb 25, 2007 6792 views

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05:21:58

Boosting

Ron Meir

calendar icon Feb 25, 2007 6555 views

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04:36:55

Bayesian Kernel Methods

Alex Smola

calendar icon Feb 25, 2007 8963 views

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Support Vector Machines and Kernels

Bernhard Schölkopf

calendar icon Feb 25, 2007 11682 views

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Statistical Learning Theory and Empirical Processes

Shahar Mendelson

calendar icon Feb 25, 2007 7485 views

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01:41:51

A Unified Approach to Deduction and Induction

Arun Sharma

calendar icon Feb 25, 2007 8364 views

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01:28:24

Learning from Structured Data

John Lloyd

calendar icon Feb 25, 2007 3487 views

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04:18:12

Online Learning and Bregmann Divergences

Gunnar Rätsch

calendar icon Feb 25, 2007 5610 views

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01:31:20

Online Loss Bounds

Jyrki Kivinen

calendar icon Feb 25, 2007 3084 views

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