PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

EPrints submitted by S V N Vishwanathan

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Number of EPrints submitted by this user: 23

Step Size Adaptation in Reproducing Kernel Hilbert Space
S V N Vishwanathan, Nicol Schraudolph and Alex Smola
Journal of Machine Learning Research 2005.

Binet-Cauchy Kernels on Dynamical Systems and its Application to the Analysis of Dynamic Scenes
S V N Vishwanathan, Alex Smola and Rene Vidal
International Journal of Computer Vision 2005.

CLASS PREDICTION FROM TIME SERIES GENE EXPRESSION PROFILES USING DYNAMICAL SYSTEMS KERNELS
Karsten Borgwardt, S V N Vishwanathan and Hans-Peter Kriegel
In: Pacific Symposium of Biocomputing 2006, 03 - 07 January 2006, Hawaii, USA.

Large Protein function prediction via faster graph kernels
Karsten Borgwardt, S V N Vishwanathan, Nicol Schraudolph and Hans-Peter Kriegel
In: NIPS workshop on Bio-informatics, 05 - 11 December 2005, Vancouver, Canada.

Simple and SimplerSVM
S V N Vishwanathan, Alex Smola and Nicol Schraudolph
In: NIPS Workshop on Large Scale Kernel Machines, 05 - 11 December 2005, Vancouver, Canada.

Learnability of Probabilistic Automata via Oracles
Omri Guttman, S V N Vishwanathan and Bob Williamson
In: Algorithmic Learning Theory, 2005, 08 - 11 Oct 2005, Singapore.

Kernel Extrapolation
S V N Vishwanathan, Karsten Borgwardt, Omri Guttman and Alex Smola
Neurocomputing 2005.

Leaving the Span
Manfred Warmuth and S V N Vishwanathan
In: COLT 2005, 27 - 30 Jul, 2005, Bertinoro, Italy.

Kernel Methods for Missing Variables
Alex Smola, S V N Vishwanathan and Thomas Hoffman
In: AISTATS 2005, 06 - 08 Jan 2005, Barbados.

Fast Iterative Kernel Principal Component Analysis
Simon Guenter, Nicol Schraudolph and S V N Vishwanathan
Journal of Machine Learning Research Volume 8, pp. 1893-1918, 2007. ISSN 1533-7928

Graph Kernels for Disease Outcome Prediction from Protein-Protein Interaction Networks
KM Borgwardt, HP Kriegel, S V N Vishwanathan and Nicol Schraudolph
In: Proceedings of the Pacific Symposium on Biocomputing (2007) World Scientific , Maui, Hawaii .

Fast Computation of Graph Kernels
S V N Vishwanathan, Karsten Borgwardt and Nicol Schraudolph
In: Advances in Neural Information Processing Systems (2007) MIT Press , Cambridge, MA , pp. 1449-1456.

3D Hand Tracking in a Stochastic Approximation Setting
Desmond Chik, Jochen Trumpf and Nicol Schraudolph
In: 2nd Workshop on Human Motion: Understanding, Modeling, Capture and Animation, 11th IEEE International Conference on Computer Vision Lecture Notes in Computer Science , 4814 . (2007) Springer Verlag, Berlin , Rio de Janeiro, Brazil , pp. 136-151. ISBN 978-3-540-75702-3

A Stochastic Quasi-Newton Method for Online Convex Optimization
Nicol Schraudolph, Jin Yu and Simon Guenter
In: Proceedings of the 11th International Conference on Artificial Intelligence and Statistics (AIstats) (2007) Society for Artificial Intelligence and Statistics , San Juan, Puerto Rico , pp. 433-440.

Fast Stochastic Optimization for Articulated Structure Tracking
Matthieu Bray, Esther Koller-Meier, Nicol Schraudolph and Luc Van Gool
Image and Vision Computing Volume 25, Number 3, pp. 352-364, 2007. ISSN 0262-8856

Natural Actor-Critic for Road Traffic Optimisation
Silvia Richter, Douglas Aberdeen and Jin Yu
In: Advances in Neural Information Processing Systems (2007) MIT Press , Cambridge, MA , pp. 1169-1176. ISBN 0262195682

Policy-Gradients for PSRs and POMDPs
Douglas Aberdeen, Olivier Buffet and Owen Thomas
In: Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics (AIstats2007) (2007) Society for Artificial Intelligence and Statistics , San Juan, Puerto Rico .

An MRF and Gaussian Curvature Based Shape Representation for Shape Matching
P Xiao, N Barnes, Tiberio Caetano and P Lieby
In: CVPR Workshop: Beyond Multiview Geometry (IEEE Conference on Computer Vision and Pattern Recognition, 2007) (2007) IEEE Computer Society , pp. 1-7. ISBN 1-4244-1180-7

Concurrent Probabilistic Temporal Planning with Policy-Gradients
Douglas Aberdeen and Olivier Buffet
In: ICAPS Digital Library Proceedings of the Seventeenth International Conference on Automated Planning and Scheduling ICAPS Digital Library Proceedings of the Seventeenth International Conference on Automated Planning and Scheduling (2007) The AAAI Press , Menlo Park, California , pp. 10-17. ISBN 978-1-57735-344-7

FF+FPG: Guiding a Policy-Gradient Planner
Douglas Aberdeen and Olivier Buffet
In: Proceedings of the Seventeenth International Conference on Automated Planning and Scheduling (ICAPS'07) (2007) The AAAI Press , Providence, USA , pp. 42-48. ISBN 978-1-57735-344-7

Emerge and spread models and word burstiness
Peter Sunehag
In: Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics (2007) Society for Artificial Intelligence and Statistics , San Juan, Puerto Rico , pp. 540-547. ISBN 0-9727358-2-8

Induced Graph Semantics: Another look at the Hammersley-Clifford theorem
Tim Sears and Peter Sunehag
In: 27th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering AIP Conference Proceedings , 954 . (2007) American Institute of Physics , Saratoga Springs, NY , pp. 125-132. ISBN 978-0-7354-0468-7

Rich-club phenomenon across complex network hierarchies
Julian McAuley, Luciano da Fontoura Costa and Tiberio Caetano
Applied Physics Letters Volume 91, Number 084103, 2007.