1419 search results - page 232 / 284 » Approximation Methods for Supervised Learning |
NIPS
2008
13 years 11 months ago
2008
This paper studies global ranking problem by learning to rank methods. Conventional learning to rank methods are usually designed for `local ranking', in the sense that the r...
CORR
2010
Springer
13 years 10 months ago
2010
Springer
Recent work has demonstrated that using a carefully designed dictionary instead of a predefined one, can improve the sparsity in jointly representing a class of signals. This has m...
TSP
2010
13 years 4 months ago
2010
We consider the problem of learning Gaussian multiresolution (MR) models in which data are only available at the finest scale and the coarser, hidden variables serve both to captu...
SDM
2008
SIAM
13 years 11 months ago
2008
SIAM
Supervised learning on sequence data, also known as sequence classification, has been well recognized as an important data mining task with many significant applications. Since te...
BMCBI
2005
13 years 9 months ago
2005
Background: Several supervised and unsupervised learning tools are available to classify functional genomics data. However, relatively less attention has been given to exploratory...