62 search results - page 5 / 13 » Convergence analysis of convex incremental neural networks |
ICANN
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. Tuning hyper-parameters is a necessary step to improve learning algorithm performances. For Support Vector Machine classifiers, adjusting kernel parameters increases dra...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
In this work we analyze the mean-square performance of different strategies for adaptation over two-node least-mean-squares (LMS) networks. The results highlight some interesting ...
CISS
2008
IEEE
14 years 1 months ago
2008
IEEE
— We consider dual subgradient methods for solving (nonsmooth) convex constrained optimization problems. Our focus is on generating approximate primal solutions with performance ...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
— One of the major drawbacks of the Hopfield network is that when it is applied to certain polytopes of combinatorial problems, such as the traveling salesman problem (TSP), the...
ESWA
2008
13 years 7 months ago
2008
Clustering is an important function in data mining. Its typical application includes the analysis of consumer's materials. Adaptive resonance theory network (ART) is very pop...