Machine Learning Seminars at CS-UCL

Seminars in 2004:

Jan 28, Wednesday, 16:00--17:00, Room 203
Chu Wei (Gatsby Computational Neuroscience Unit, UCL)
Bayesian Segmental Model for Protein Structure Prediction [More Info]

February 11, Wednesday, 15:00--16:00, Room 203
Manfred Opper (Aston University)
Tractable Inference for Probabilistic Models [More Info]

March 4, Thursday, 16:00--17:00, Gustave Tuck Lecture Theatre (* Note unusual place)
John Shaw-Taylor (University of Southampton)
Patterns in Data: from Kepler to the age of information [More Info]

Mar 31, Wednesday, 15:00--16:00, Room 203
Santosh Venkatesh (University of Pennsylvania)
Coverage and Connectivity in Metric Random Graphs [More Info]

April 14, Wednesday, 15:00--16:00, Room 203
Thore Graepel (Microsoft Research, Cambridge)
Invariant Pattern Recognition by Semidefinite Programming Machines [More Info]

June 11
Sean Holden (Cambridge University)
Title TBA [More Info]

Date TBA
Stephen Muggleton (CS Dept, Imperial College)
Probabilistic Relational Kernels

Date TBA
Marley Vellasco (PUC Rio de Janeiro)
An introduction to fuzzy inference systems

Relevant Links:

Previous seminars in 2003:

November 18, Tuesday, 16:00--17:00, Room 203
Misha Belkin (University of Chicago)
Laplacian Eigenmaps [More Info]

November 26, Wednesday, 15:00--16:00, Room 203
Shiro Ikeda (Institute of Statistical Mathematics, Tokyo)
Belief propagation from information geometrical viewpoint [More Info]

December 3, Wednesday, 15:00--16:00, Room 203
Martin Anthony (London School of Economics)
Using hyperplanes iteratively for classification [More Info]

December 9, Tuesday, 16:00--17:00, Room 203
Yuri Kalnishkan (Royal Holloway University of London)
Predictive Complexity [More Info]

December 17, Wednesday, 12:00--13:00, Room 203
Wayne Lawton (National University of Singapore)
Spatially Adaptive Learning Theory [More Info]