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Informatics Research Programme on Machine Learning—Introductory Session 3

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.

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

Introductory Session 3

  • 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)
Location: 
IF 4.31/4.33
Dates: 
12 Nov 2008