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ICPR
2008
IEEE
16 years 29 days ago
Pre-extracting method for SVM classification based on the non-parametric K-NN rule
With the increase of the training set’s size, the efficiency of support vector machine (SVM) classifier will be confined. To solve such a problem, a novel preextracting method f...
Deqiang Han, Chongzhao Han, Yi Yang, Yu Liu, Wenta...
CDC
2009
IEEE
129views Control Systems» more  CDC 2009»
15 years 10 months ago
Improving the performance of active set based Model Predictive Controls by dataflow methods
Abstract-- Dataflow representations of Digital Signal Processing (DSP) software have been developing since the 1980's. They have proven to be useful in identifying bottlenecks...
Ruirui Gu, Shuvra S. Bhattacharyya, William S. Lev...
CEC
2005
IEEE
15 years 8 months ago
Graph composition in a graph grammar-based method for automata network evolution
The dynamics of neural and other automata networks are defined to a large extent by their topologies. Artificial evolution constitutes a practical means by which an optimal topolog...
Martin H. Luerssen, David M. W. Powers
NIPS
2004
15 years 8 months ago
Log-concavity Results on Gaussian Process Methods for Supervised and Unsupervised Learning
Log-concavity is an important property in the context of optimization, Laplace approximation, and sampling; Bayesian methods based on Gaussian process priors have become quite pop...
Liam Paninski
SIAMCO
2008
127views more  SIAMCO 2008»
15 years 6 months ago
Control Lyapunov Functions and Zubov's Method
For finite dimensional nonlinear control systems we study the relation between asymptotic null-controllability and control Lyapunov functions. It is shown that control Lyapunov fun...
Fabio Camilli, Lars Grüne, Fabian Wirth