Sciweavers

581 search results - page 63 / 117
» EM in High Dimensional Spaces
Sort
View
SIAMSC
2010
159views more  SIAMSC 2010»
14 years 9 months ago
Parameter and State Model Reduction for Large-Scale Statistical Inverse Problems
A greedy algorithm for the construction of a reduced model with reduction in both parameter and state is developed for efficient solution of statistical inverse problems governed b...
Chad Lieberman, Karen Willcox, Omar Ghattas
UC
2010
Springer
14 years 8 months ago
Characterising Enzymes for Information Processing: Towards an Artificial Experimenter
The information processing capabilities of many proteins are currently unexplored. The complexities and high dimensional parameter spaces make their investigation impractical. Diff...
Chris Lovell, Gareth Jones, Steve R. Gunn, Klaus-P...
COMPLEXITY
2010
124views more  COMPLEXITY 2010»
14 years 8 months ago
Spatially embedded dynamics and complexity
To gain a deeper understanding of the impact of spatial embedding on the dynamics of complex systems we employ a measure of interaction complexity developed within neuroscience us...
Christopher L. Buckley, Seth Bullock, Lionel Barne...
CORR
2012
Springer
171views Education» more  CORR 2012»
13 years 6 months ago
Random Feature Maps for Dot Product Kernels
Approximating non-linear kernels using feature maps has gained a lot of interest in recent years due to applications in reducing training and testing times of SVM classifiers and...
Purushottam Kar, Harish Karnick
CVPR
2012
IEEE
13 years 1 months ago
Group action induced distances for averaging and clustering Linear Dynamical Systems with applications to the analysis of dynami
We introduce a framework for defining a distance on the (non-Euclidean) space of Linear Dynamical Systems (LDSs). The proposed distance is induced by the action of the group of o...
Bijan Afsari, Rizwan Chaudhry, Avinash Ravichandra...