254 search results - page 10 / 51 » Filtered Gaussian Processes for Learning with Large Data-Set... |
133
Voted
NIPS
2004
15 years 5 months ago
2004
Log-concavity is an important property in the context of optimization, Laplace approximation, and sampling; Bayesian methods based on Gaussian process priors have become quite pop...
176
Voted
ICANN
2011
Springer
14 years 7 months ago
2011
Springer
Abstract. In many supervised learning tasks it can be costly or infeasible to obtain objective, reliable labels. We may, however, be able to obtain a large number of subjective, po...
209
Voted
Book
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
179
Voted
ICDM
2010
IEEE
15 years 1 months ago
2010
IEEE
Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases, regression algori...
149
Voted
VISUALIZATION
1999
IEEE
15 years 8 months ago
1999
IEEE
Our ability to accumulate large, complex (multivariate) data sets has far exceeded our ability to effectively process them in search of patterns, anomalies, and other interesting ...