1900 search results - page 43 / 380 » Gaussian Processes for Machine Learning |
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Graphical models are well established in providing compact conditional probability descriptions of complex multivariable interactions. In the Gaussian case, graphical models are d...
ICGI
2004
Springer
14 years 1 months ago
2004
Springer
ICALT
2003
IEEE
14 years 1 months ago
2003
IEEE
The production process of multimedia learning material includes many participants, tasks, and tools. The system described in this paper combines all data from the development and ...
DAGM
2011
Springer
12 years 7 months ago
2011
Springer
Many unsupervised learning algorithms make use of kernels that rely on the Euclidean distance between two samples. However, the Euclidean distance is optimal for Gaussian distribut...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
Ordinal regression has become an effective way of learning user preferences, but most of research only focuses on single regression problem. In this paper we introduce collaborati...