97 search results - page 2 / 20 » Learning to combine distances for complex representations |
SDM
2007
SIAM
13 years 6 months ago
2007
SIAM
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...
ATAL
2011
Springer
12 years 4 months ago
2011
Springer
A key component of any reinforcement learning algorithm is the underlying representation used by the agent. While reinforcement learning (RL) agents have typically relied on hand-...
ICML
2005
IEEE
14 years 5 months ago
2005
IEEE
T ORDER REGRESSION (EXTENDED ABSTRACT) Kurt Driessensa Saso Dzeroskib a Department of Computer Science, University of Waikato, Hamilton, New Zealand (kurtd@waikato.ac.nz) b Departm...
WWW
2004
ACM
14 years 5 months ago
2004
ACM
This paper presents a novel approach of using web log data generated by course management systems (CMS) to help instructors become aware of what is happening in distance learning ...
ECCV
2010
Springer
13 years 10 months ago
2010
Springer
The range space of dynamic textures spans spatiotemporal phenomena that vary along three fundamental dimensions: spatial texture, spatial texture layout, and dynamics. By describin...