1419 search results - page 65 / 284 » Approximation Methods for Supervised Learning |
ICML
2009
IEEE
14 years 10 months ago
2009
IEEE
This work proposes a learning method for deep architectures that takes advantage of sequential data, in particular from the temporal coherence that naturally exists in unlabeled v...
KDD
2010
ACM
14 years 1 months ago
2010
ACM
Many recommendation and retrieval tasks can be represented as proximity queries on a labeled directed graph, with typed nodes representing documents, terms, and metadata, and labe...
IROS
2006
IEEE
14 years 4 months ago
2006
IEEE
— This paper proposes an approach allowing indoor environment supervised learning to recognize relevant features for environment understanding. Stochastic preprocessing methods i...
JMLR
2010
13 years 4 months ago
2010
Variational Bayesian (VB) methods are typically only applied to models in the conjugate-exponential family using the variational Bayesian expectation maximisation (VB EM) algorith...
ESANN
2007
13 years 11 months ago
2007
The eligibility trace is one of the most used mechanisms to speed up reinforcement learning. Earlier reported experiments seem to indicate that replacing eligibility traces would p...