1900 search results - page 111 / 380 » Gaussian Processes in Machine Learning |
ML
2007
ACM
13 years 8 months ago
2007
ACM
Classifier calibration is the process of converting classifier scores into reliable probability estimates. Recently, a calibration technique based on isotonic regression has gain...
ICML
2009
IEEE
14 years 9 months ago
2009
IEEE
Graph based semi-supervised learning (SSL) methods play an increasingly important role in practical machine learning systems. A crucial step in graph based SSL methods is the conv...
ICCV
2011
IEEE
12 years 9 months ago
2011
IEEE
Learning good image priors is of utmost importance for the study of vision, computer vision and image processing applications. Learning priors and optimizing over whole images can...
BMCBI
2007
13 years 9 months ago
2007
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
IJDMB
2010
13 years 7 months ago
2010
: We explore whether protein-RNA interfaces differ from non-interfaces in terms of their structural features and whether structural features vary according to the type of the bound...