161 search results - page 14 / 33 » More efficiency in multiple kernel learning |
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
We present a general Bayesian framework for hyperparameter tuning in L2-regularized supervised learning models. Paradoxically, our algorithm works by first analytically integratin...
ICML
2001
IEEE
14 years 8 months ago
2001
IEEE
This paper introduces multiple instance regression, a variant of multiple regression in which each data point may be described by more than one vector of values for the independen...
TMI
2002
13 years 7 months ago
2002
Abstract--We present an explicit formula for B-spline convolution kernels; these are defined as the convolution of several B-splines of variable widths and degrees . We apply our r...
TNN
2010
13 years 2 months ago
2010
We propose a multiple incremental decremental algorithm of Support Vector Machine (SVM). Conventional single incremental decremental SVM can update the trained model efficiently w...
IJCSS
2007
13 years 7 months ago
2007
In this paper, learning algorithm for a single multiplicative spiking neuron (MSN) is proposed and tested for various applications where a multilayer perceptron (MLP) neural netwo...