270 search results - page 2 / 54 » Large-Scale Many-Class Learning |
NIPS
2003
13 years 6 months ago
2003
We consider situations where training data is abundant and computing resources are comparatively scarce. We argue that suitably designed online learning algorithms asymptotically ...
AIIDE
2006
13 years 6 months ago
2006
This paper investigates the challenges posed by the application of reinforcement learning to large-scale strategy games. In this context, we present steps and techniques which syn...
NIPS
2007
13 years 6 months ago
2007
This contribution develops a theoretical framework that takes into account the effect of approximate optimization on learning algorithms. The analysis shows distinct tradeoffs for...
WMTE
2006
IEEE
13 years 10 months ago
2006
IEEE
The diversity of mobile devices and their limitations have raised many challenges for the actual deployment of mobile learning across institutions. The main objective of this work...
TNN
2010
12 years 11 months ago
2010
Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...