883 search results - page 129 / 177 » Unsupervised learning in neural computation |
IJCNN
2008
IEEE
14 years 4 months ago
2008
IEEE
Abstract— Meta-learning helps us find solutions to computational intelligence (CI) challenges in automated way. Metalearning algorithm presented in this paper is universal and m...
IJCNN
2007
IEEE
14 years 4 months ago
2007
IEEE
—The 0/1 loss is an important cost function for perceptrons. Nevertheless it cannot be easily minimized by most existing perceptron learning algorithms. In this paper, we propose...
CEC
2005
IEEE
13 years 11 months ago
2005
IEEE
Abstract- Interactive combat games are useful as testbeds for learning systems employing evolutionary computation. Of particular value are games that can be modified to accommodate...
CVPR
2000
IEEE
14 years 11 months ago
2000
IEEE
We propose a method to learn heterogeneous models of object classes for visual recognition. The training images contain a preponderance of clutter and learning is unsupervised. Ou...
ICCV
2005
IEEE
14 years 11 months ago
2005
IEEE
Learning models for detecting and classifying object categories is a challenging problem in machine vision. While discriminative approaches to learning and classification have, in...