Tea - Time -
Talks
Time:
Fridays 3.30 PM
Location: ICS 432
Schedule:
Jan. 09 '04.
Max Welling.
Radford Neal, Matt Beal, Sam
Roweis, NIPS 2003.
Jan. 16 '04.
Eric Mjolsness.
Improving "Plate"
Notation.
Jan. 23 '04.
Padhriac Smyth.
Modelling spatio-temporal
rainfall data with graphical models.
Jan. 30 '04. Bozhean Bidyuk
The graph theoretical aspects of minimum
weight w-cutset of a graph
Feb. 06 '04
Pierre Baldi.
On the Foundations of Machine
Learning.
Feb. 13 '04
cancelled
Feb. 20 '04
David Van Dyke.
Rates of convergence of the EM
algorithm and Gibbs samplers
Feb. 27 '04
Joshua O'Madadhain.
Predicting Connections in
Networks
Mar. 05 '04
cancelled
Mar. 12 '04
Wayne Hayes, U. Maryland
Improving genome sequence
assembly by using a better pair of glasses.
Mar. 19 '04
Albert Salah
Incremental Mixtures of Factor
Analysers
Abstract:
A mixture of factor analyzer is a semiparametric density estimator that
performs
clustering and dimensionality reduction in each cluster (component)
simultaneously. It performs nonlinear dimensionality reduction by modeling the
density as a mixture of local linear models. The approach can be used for
classification by modeling each class-conditional density using a mixture model
and the complete data is then a mixture of mixtures. We propose an incremental
mixture of factor analysis algorithm where the number of components (local
models) in the mixture and the number of factors in each component (local
dimensionality) are determined adaptively. Our results on different pattern
classification tasks prove the utility of our approach and indicate that our
algorithms find a good trade-off between model complexity and accuracy.
Mar. 26 '04
cancelled