1900 search results - page 42 / 380 » Gaussian Processes for Machine Learning |
CORR
2010
Springer
13 years 7 months ago
2010
Springer
Abstract--The question of polynomial learnability of probability distributions, particularly Gaussian mixture distributions, has recently received significant attention in theoreti...
ATAL
2007
Springer
14 years 1 months ago
2007
Springer
This paper proposes a framework for agent-based distributed machine learning and data mining based on (i) the exchange of meta-level descriptions of individual learning processes ...
NIPS
2001
13 years 9 months ago
2001
We combine the replica approach from statistical physics with a variational approach to analyze learning curves analytically. We apply the method to Gaussian process regression. A...
NIPS
2008
13 years 9 months ago
2008
Many machine learning algorithms require the summation of Gaussian kernel functions, an expensive operation if implemented straightforwardly. Several methods have been proposed to...
ICALT
2005
IEEE
14 years 1 months ago
2005
IEEE
Process-oriented learning designs (POLD) are used to describe innovative teaching activities (processes) that can be generalised and used across different disciplines. This paper ...