101 search results - page 10 / 21 » Convergence of Gradient Dynamics with a Variable Learning Ra... |
JMLR
2012
11 years 9 months ago
2012
We develop a high dimensional nonparametric classification method named sparse additive machine (SAM), which can be viewed as a functional version of support vector machine (SVM)...
PKDD
2010
Springer
13 years 4 months ago
2010
Springer
We consider the problem of numerical stability and model density growth when training a sparse linear model from massive data. We focus on scalable algorithms that optimize certain...
MOR
2010
13 years 5 months ago
2010
We study the convergence properties of an alternating proximal minimization algorithm for nonconvex structured functions of the type: L(x, y) = f(x)+Q(x, y)+g(y), where f : Rn → ...
ISNN
2007
Springer
14 years 26 days ago
2007
Springer
A neural-based method for source separation in nonlinear mixture is proposed in this paper. A cost function, which consists of the mutual information and partial moments of the out...
ICCS
2005
Springer
14 years 7 days ago
2005
Springer
This study proposes a novel forecasting approach – an adaptive smoothing neural network (ASNN) – to predict foreign exchange rates. In this new model, adaptive smoothing techni...