1419 search results - page 177 / 284 » Approximation Methods for Supervised Learning |
ESANN
2008
13 years 11 months ago
2008
While it is well-known that model can enhance the control performance in terms of precision or energy efficiency, the practical application has often been limited by the complexiti...
EDUTAINMENT
2010
Springer
13 years 8 months ago
2010
Springer
Abstract. This paper presents a new spectrally-based single image relighting approach. We first compute the spectral radiance of each stimulus on the monitor when displaying the i...
ATAL
2008
Springer
14 years 3 days ago
2008
Springer
In reinforcement learning, least-squares temporal difference methods (e.g., LSTD and LSPI) are effective, data-efficient techniques for policy evaluation and control with linear v...
ISMB
2000
13 years 11 months ago
2000
Several microarray technologies that monitor the level of expression of a large number of genes have recently emerged. Given DNA-microarray data for a set of cells characterized b...
BMCBI
2007
13 years 10 months ago
2007
Background: Support Vector Machines (SVMs) provide a powerful method for classification (supervised learning). Use of SVMs for clustering (unsupervised learning) is now being cons...