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ESSMAC
2003
Springer
16 years 2 days ago
Self-tuning Control of Non-linear Systems Using Gaussian Process Prior Models
Gaussian Process prior models, as used in Bayesian non-parametric statistical models methodology are applied to implement a nonlinear adaptive control law. The expected value of a...
Daniel Sbarbaro, Roderick Murray-Smith
ESSMAC
2003
Springer
16 years 2 days ago
Filtered Gaussian Processes for Learning with Large Data-Sets
Kernel-based non-parametric models have been applied widely over recent years. However, the associated computational complexity imposes limitations on the applicability of those me...
Jian Qing Shi, Roderick Murray-Smith, D. M. Titter...
ICCBR
1999
Springer
15 years 11 months ago
Flexibly Interleaving Processes
We discuss several problems of analogy-driven proof plan construction which prevent a solution for more diæcult target problems or make a solution very expensive. Some of these pr...
Erica Melis, Carsten Ullrich
EMNETS
2007
15 years 10 months ago
Image browsing, processing, and clustering for participatory sensing: lessons from a DietSense prototype
Imagers are an increasingly significant source of sensory observations about human activity and the urban environment. ImageScape is a software tool for processing, clustering, an...
Sasank Reddy, Andrew Parker, Josh Hyman, Jeff Burk...
MKWI
2008
136views Business» more  MKWI 2008»
15 years 8 months ago
KASIMIR - Work process embedded task management leveraging the Semantic Desktop
: The effectiveness of semantic applications can be increased significantly if the system does not urge the users to take care of explicit semantic annotation creation. Today, sema...
Olaf Grebner, Ernie Ong, Uwe V. Riss