Informatics Research Programme on Machine Learning

Background

The Informatics Research Advisory Committee recently approved the creation of a Research Programme on Machine Learning. Machine Learning (ML) methods are widely researched and used in many places in the School, e.g. in ANC, IPAB, ICCS and elsewhere. With the co-location of the School in the Forum there is an opportunity to develop the links between these various groups, so as to enhance mutual understanding, and likely lead to new research opportunities.

Introductory Sessions

The first goal of the research programme is to conduct a series of meetings to bring together these researchers, so they can understand the nature of the work carried out in the different groups.

The tentative schedule is:

Oct 15 2008

Venue: IF G07

1530 Chris Williams: Introduction [slides]
1545 Mike O'Boyle: Machine Learning for automating compiler/architecture co-design [slides]
1600 Gillian Hayes: ML for robotic and software agents [slides]
1615 Amos Storkey: Modelling time sequences [slides]
1630 Frank Keller: ML for language learning and processing [slides]
1645 Discussion time
1700 Further discussions & food in G02

Oct 29 2008

Venue: IF G07

1530 Subramanian Ramamoorthy: Machine Learning in Robust Control and Decision Problems [slides]
1545 Jano van Hemert: Advanced Data Mining and Integration Research for Europe (ADMIRE) [slides]
1600 Steve Renals: Challenges arising from the instrumented meeting room [slides]
1615 Bjoern Franke: An overview of the PASTA project [slides]
1630 Discussion time
1700 Further discussions & food in 2.32 (level 2 mini forum)

Nov 12 2008

Venue: IF 4.31/4.33

1530 Michael Rovatsos: Collaborative and strategic multiagent learning [slides]
1545 Simon King: Hidden Markov Model-based speech synthesis [slides]
1600 Mike Dewar: iBehave: Toward the Sequencing of Behaviour [slides]
1615 Mike Davies (SEE): Sparse representations and compressed sensing [slides]
1630 Oliver Lemon: Learning to optimize human-computer interaction: training multimodal dialogue systems with Reinforcement Learning [slides]
1645 Sethu Vijayakumar: Machine Learning for Sensorimotor control [slides]
1700 Discussion time
1715 Further discussions & food in 4.40 (level 4 mini forum)

Nov 26 2008

Venue: IF 4.31/4.33

1530 Phil Blunsom: Statistical Machine Translation [slides]
1545 Katherine Cameron (SEE): Biologically Inspired Systems in Neuromorphics [slides]
1600 Hiroshi Shimodaira: Speech-driven facial animation: how to learn a stream to stream mapping? [slides]
1615 Steve McLaughlin (SEE): Signals & Spectrum and Relay Communication [slides]
1630 Jan Wildenhain (Cell Biology): Endless dating but no marriage in sight - Machine Learning in Systems Biology [cancelled due to illness]
1645 Discussion time
1700 Further discussions & food in 4.40 (level 4 mini forum)

Version of 29 Oct 2008

This page is maintained by Chris Williams