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Poster Presentations

Refining Kernels for Regression and Uneven Classification Problems. Jaz Kandola, John Shawe-Taylor

Data centering in feature space. Marina Meila.

Learning Bayesian Networks From Dependency Networks: A Preliminary Study. Geoff Hulten, David Maxwell Chickering, David Heckerman

Towards Principled Feature Selection: Relevancy, Filters and Wrappers. Ioannis Tsamardinos, Constantin Aliferis

The Joint Causal Effect in Linear Structural Equation Model and Its Application to Process Analysis. . Manabu Kuroki, Zhihong Cai

Document Retrieval and Clustering: from Principal Component Analysis to Self-aggregation Networks. Chris Ding

Structured Variational Distributions in VIBES. Christopher M. Bishop and John Winn

Application of a Hierarchical Bayesian Model in an Object Matching Problem. Toni Tamminen, Jouko Lampinen

Reduced Rank Approximations of Transition Matrices. Juan Lin

Ensemble Coupled Hidden Markov Models for Joint Characterisation of Dynamic Signals. Iead Rezek, Stephen J. Roberts, Peter Sykacek

Clustering Markov States into Equivalence Classes using SVD and Heuristic Search Algorithms. Xianping Ge, Sridevi Parise, Padhraic Smyth

Quick Training of Probabilistic Neural Nets by Importance Sampling. Yoshua Bengio, Jean-Sebastien Senecal

On the Naive Bayes Model for Text Categorization. Susana Eyheramendy, David Lewis, David Madigan

Bayesian Feature Weighting for Unsupervised Learning, with Application to Object Recognition. Paul Gustafson, Peter Carbonetto, Natalie Thompson, Nando de Freitas

A Blessing of Dimensionality: Measure Concentration and Probabilistic Inference. Pinar Muyan, Nando de Freitas

Latent Maximum Entropy Approach for Semantic N-gram Language Modeling. Shaojun Wang, Dale Schuurmans, Fuchun Peng

An Active Approach to Collaborative Filtering. Richard Zemel, Craig Boutilier

Efficient Computing of Stochastic Complexity. Petri Kontkanen, Wray Buntine, Petri Myllymäki, Jorma Rissanen, Henry Tirri

Fast Robust Logistic Regression for Large Sparse Datasets with Binary Outputs. Paul Komarek, Andrew Moore

Curve Clustering with Random Effects Regression Mixtures. Scott Gaffney, Padhraic Smyth

Real-time On-line Learning of Transformed Hidden Markov Models from Video. Nemanja Petrovic, Nebojsa Jojic, Brendan J. Frey, Thomas S, Huang

An object-oriented Bayesian network for estimating mutation rates. Philip Dawid

A unifying theorem for spectral embedding and clustering. Matthew Brand, Kun Huang

On Retrieval Properties of Samples of Large Collections. David Madigan, Yehuda Vardi, Ishay Weissman

Sequential Importance Sampling for Visual Tracking Reconsidered. Peter Torma, Csaba Szepesvari

Super-resolution Enhancement of Video. Christopher M. Bishop, Andrew Blake, Bhaskara Marthi

Discriminative Model Selection for Density Models. Bo Thiesson, Christopher Meek

Planning by Probabilistic Inference. Hagai Attias

Is Multinomial PCA Multi-faceted Clustering or Dimensionality Reduction?. Wray Buntine, Sami Perttu