625 search results - page 2 / 125 » Large-scale manifold learning |
ML
2007
ACM
13 years 4 months ago
2007
ACM
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...
SDM
2008
SIAM
13 years 6 months ago
2008
SIAM
In many multiclass learning scenarios, the number of classes is relatively large (thousands,...), or the space and time efficiency of the learning system can be crucial. We invest...