13 search results - page 2 / 3 » Heteroscedastic Gaussian processes for data fusion in large ... |
ICDM
2010
IEEE
13 years 2 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...
DSMML
2004
Springer
13 years 10 months ago
2004
Springer
Learning curves for Gaussian process (GP) regression can be strongly affected by a mismatch between the ‘student’ model and the ‘teacher’ (true data generation process), e...
NIPS
2008
13 years 6 months ago
2008
Stochastic relational models (SRMs) [15] provide a rich family of choices for learning and predicting dyadic data between two sets of entities. The models generalize matrix factor...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
The idea of learning overcomplete dictionaries based on the paradigm of compressive sensing has found numerous applications, among which image denoising is considered one of the m...
DEBS
2010
ACM
13 years 8 months ago
2010
ACM
Operator-based programming languages provide an effective development model for large scale stream processing applications. A stream processing application consists of many runtim...