311 search results - page 33 / 63 » Gradient Convergence in Gradient methods with Errors |
MOR
2010
13 years 6 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 → ...
ICDE
2005
IEEE
14 years 9 months ago
2005
IEEE
We consider the problem of maintaining frequency counts for items occurring frequently in the union of multiple distributed data streams. Na?ive methods of combining approximate f...
NCA
2006
IEEE
13 years 7 months ago
2006
IEEE
The use of multilayer perceptrons (MLP) with threshold functions (binary step function activations) greatly reduces the complexity of the hardware implementation of neural networks...
SADM
2008
13 years 7 months ago
2008
: Nonnegative matrix approximation (NNMA) is a popular matrix decomposition technique that has proven to be useful across a diverse variety of fields with applications ranging from...
SIAMJO
2002
13 years 7 months ago
2002
Most local convergence analyses of the sequential quadratic programming (SQP) algorithm for nonlinear programming make strong assumptions about the solution, namely, that the activ...