818 search results - page 11 / 164 » Regularized multi--task learning |
KDD
2012
ACM
12 years 7 days ago
2012
ACM
Multi-task learning (MTL) aims to improve the performance of multiple related tasks by exploiting the intrinsic relationships among them. Recently, multi-task feature learning alg...
ICML
2007
IEEE
14 years 10 months ago
2007
IEEE
Regularized Kernel Discriminant Analysis (RKDA) performs linear discriminant analysis in the feature space via the kernel trick. The performance of RKDA depends on the selection o...
ICMLA
2008
13 years 11 months ago
2008
We are interested in learning an adaptive local metric on a lower dimensional manifold for query
ESANN
2008
13 years 11 months ago
2008
The Sensitivity-Based Linear Learning Method (SBLLM) is a learning method for two-layer feedforward neural networks, based on sensitivity analysis, that calculates the weights by s...
SDM
2008
SIAM
13 years 11 months ago
2008
SIAM
Semi-supervised learning plays an important role in the recent literature on machine learning and data mining and the developed semisupervised learning techniques have led to many...