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

Feb 25, 2007

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4415 views

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05:09:25

Reinforcement Learning

Peter L. Bartlett

Feb 25, 2007

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6774 views

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05:21:58

Boosting

Ron Meir

Feb 25, 2007

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6545 views

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04:36:55

Bayesian Kernel Methods

Alex Smola

Feb 25, 2007

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8949 views

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Support Vector Machines and Kernels

Bernhard Schölkopf

Feb 25, 2007

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11682 views

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Statistical Learning Theory and Empirical Processes

Shahar Mendelson

Feb 25, 2007

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7485 views

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01:41:51

A Unified Approach to Deduction and Induction

Arun Sharma

Feb 25, 2007

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8355 views

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01:28:24

Learning from Structured Data

John Lloyd

Feb 25, 2007

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3474 views

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04:18:12

Online Learning and Bregmann Divergences

Gunnar Rätsch

Feb 25, 2007

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5600 views

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01:31:20

Online Loss Bounds

Jyrki Kivinen

Feb 25, 2007

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3053 views