1383 search results - page 35 / 277 » The Convergence of Iterated Classification |
JMLR
2006
13 years 11 months ago
2006
We determine the asymptotic behaviour of the function computed by support vector machines (SVM) and related algorithms that minimize a regularized empirical convex loss function i...
SIAMJO
2008
13 years 11 months ago
2008
A new active set algorithm for minimizing quadratic functions with separable convex constraints is proposed by combining the conjugate gradient method with the projected gradient. ...
SIAMJO
2000
13 years 10 months ago
2000
We consider the gradient method xt+1 = xt + t(st + wt), where st is a descent direction of a function f : n and wt is a deterministic or stochastic error. We assume that f is Lip...
ICDCS
2009
IEEE
14 years 8 months ago
2009
IEEE
Autonomous routing algorithms, such as BGP, are intended to reach a globally consistent set of routes after nodes iteratively and independently collect, process, and share network...
APPROX
2006
Springer
14 years 2 months ago
2006
Springer
Abstract. The Kaczmarz method for solving linear systems of equations Ax = b is an iterative algorithm that has found many applications ranging from computer tomography to digital ...