PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Project summary

The PASCAL Network of Excellence has created a distributed institute pioneering principled methods of pattern analysis, statistical modeling, and computational learning as core enabling technologies for multimodal interfaces that are capable of natural and seamless interaction with and among individual human users. The resulting expertise has been applied to problems relevant to both multi-modal interfaces and cognitive systems. PASCAL2 will enable a refocusing of the Institute towards the emerging challenges created by the ever expanding applications of adaptive systems technology and their central role in the development of large scale cognitive systems. Furthermore, the funding will enable the Institute to engage in technology transfer through an Industrial Club to effect rapid deployment of the developed technologies into a wide variety of applications, while undertaking a brokerage of expertise and public outreach programme to communicate the value and relevance of the achieved results.


Upcoming Events

Assistive Machine Learning for People with disabilities [Mini-Symposium]
Whistler, Canada, 10 December 2009.
Machine Learning in Computational Biology [Workshop]
Whistler, Canada, 11 December 2009.
Applications of Topic Models: Text and Beyond [Workshop]
Whistler, Canada, 11 December 2009.
Clustering: Science or Art? Towards Principled Approaches [Workshop]
Whistler, Canada, 11 December 2009.
Probabilistic Approaches for Robotics and Control [Workshop]
Whistler, Canada, 11 December 2009.
Bayesian Nonparametrics [Workshop]
Whistler, Canada, 12 December 2009.
Approximate Learning of Large Scale Graphical Models: Theory and Applications [Workshop]
Whistler, Canada, 12 December 2009.
Kernels for Multiple Outputs and Multi-task Learning: Frequentist and Bayesian Points of View [Workshop]
Whistler, Canada, 12 December 2009.
Connectivity Inference in Neuroimaging [Workshop]
Whistler, Canada, 12 December 2009.
Learning from Multiple Sources with Applications to Robotics [Workshop]
Whistler, Canada, 12 December 2009.

Latest Publications

Apprentissage de fonctions d’ordonnancement avec peu d’exemples étiquetés: une application au routage d’information, au résumé de textes et au filtrage collaboratif Tuong-Vinh Truong Thesis (October 2009)
Kernel conditional quantile estimation via reduction revisited Novi Quadrianto, Kristian Kersting, Mark Reid, Tiberio Caetano and Wray Buntine Conference or Workshop Item Item availablity restricted. (December 2009)
Estimating Likelihoods for Topic Models Wray Buntine Conference or Workshop Item (03 December 2009)
Analyzing the U.S. Senate in 2003: Similarities, Clusters, and Blocs Aleks Jakulin, Wray Buntine, Timothy La Pira and Holly Brasher Article (30 June 2009)
The Entire Quantile Path of a Risk-Agnostic SVM Classifier Jin Yu, Vishwanathan S.V.N. and Jian Zhang Article (19 June 2009)
Efficient Reinforcement Learning for Motor Control Marc Deisenroth and Carl Edward Rasmussen Conference or Workshop Item (September 2009)