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Machine Learning Summer School (MLSS), Canberra 2006

Machine Learning Summer School (MLSS), Canberra 2006

17 Videos · Feb 5, 2006

About

This school is suitable for all levels, both for people without previous knowledge in Machine Learning, and those wishing to broaden their expertise in this area. It will allow the participants to get in touch with international experts in this field. Exchange of students, joint publications and joint projects will result because of this collaboration. \ For a research student, the summer school provides a unique, high-quality, and intensive period of study. It is ideally suited for students currently pursuing, or intending to pursue, research in Machine Learning or related fields. Limited scholarships are available for students to cover accommodation and registration costs. If funds are available partial travel support might also be provided. \ IT professionals who use Machine Learning will find that the summer school provides relevant knowledge and exposure to contemporary techniques. In addition, they will benefit by direct interaction with top-notch researchers and knowledge workers. Previous experience indicates that personnel from both the industry as well as national laboratories like CSIRO, DSTO benefit immensely from the school. \ For academics, the summer school is an excellent opportunity to help getting started in research on novel topics in Machine Learning. It provides an ideal forum for networking and discussions. Academics will also benefit from interaction with IT professionals which will lead to a deeper understanding of real life problems.

Videos

Introduction

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04:58

Introduction

Douglas Aberdeen

calendar icon Feb 25, 2007 3119 views

Lectures

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01:39:03

Exponential Families in Feature Space

S.V.N. Vishwanathan

calendar icon Feb 25, 2007 4980 views

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01:25:05

The Sparse Grid Method

Jochen Garcke

calendar icon Feb 25, 2007 9405 views

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04:11:39

Exponential Families

Alex Smola

calendar icon Feb 25, 2007 20990 views

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01:20:19

Policy-gradient Reinforcement Learning

Douglas Aberdeen

calendar icon Feb 25, 2007 11157 views

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01:26:53

Graphical Models for Structural Pattern Recognition

Tibério Caetano

calendar icon Feb 25, 2007 12828 views

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Optimization for Kernel Methods

Sathiya Keerthi

calendar icon Feb 25, 2007 6795 views

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02:47:43

Dirichlet Processes and Nonparametric Bayesian Modelling

Volker Tresp

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02:59:14

Learning techniques in Planning

Rao Kambhampati

calendar icon Feb 25, 2007 8989 views

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03:57:48

Introduction to Learning Theory

Olivier Bousquet

calendar icon Feb 25, 2007 30960 views

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04:58:59

Reinforcement Learning

Satinder Singh

calendar icon Feb 25, 2007 29390 views

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Anti-Learning

Adam Kowalczyk

calendar icon Feb 25, 2007 8437 views

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Rapid Stochastic Gradient Descent: Accelerating Machine Learning

Nicol Schraudolph

calendar icon Feb 25, 2007 10075 views

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05:18:54

Brain Computer Interfaces

Klaus-Robert Müller

calendar icon Feb 25, 2007 17361 views

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03:24:35

Information Retrieval and Text Mining

Thomas Hofmann

calendar icon Feb 25, 2007 15765 views

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01:02:16

Measures of Statistical Dependence

Arthur Gretton

calendar icon Feb 25, 2007 11077 views

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04:15:17

Learning with Kernels

Bernhard Schölkopf

calendar icon Feb 25, 2007 13575 views

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