311 search results - page 29 / 63 » Gradient Convergence in Gradient methods with Errors |
KDD
2008
ACM
14 years 8 months ago
2008
ACM
We propose a family of novel cost-sensitive boosting methods for multi-class classification by applying the theory of gradient boosting to p-norm based cost functionals. We establ...
IJON
2007
13 years 7 months ago
2007
In this paper we present a method of parameter optimization, relative trust-region learning, where the trust-region method and the relative optimization [21] are jointly exploited...
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
We show how the regularizer of Transductive Support Vector Machines (TSVM) can be trained by stochastic gradient descent for linear models and multi-layer architectures. The resul...
ICDAR
2011
IEEE
12 years 7 months ago
2011
IEEE
—LDA transformation is one of the popular feature dimension reduction techniques for the feature extraction in most handwritten Chinese characters recognition systems. The integr...
GLOBECOM
2009
IEEE
14 years 2 months ago
2009
IEEE
— In this paper, we propose a linear precoding and decoding scheme maximizing the sum rate of K-user interference channel systems where each node has multiple antennas. With an i...