46 search results - page 6 / 10 » Marginal Regression For Multitask Learning |
TKDE
2010
13 years 6 months ago
2010
—A major assumption in many machine learning and data mining algorithms is that the training and future data must be in the same feature space and have the same distribution. How...
ICML
2008
IEEE
14 years 9 months ago
2008
IEEE
Most existing sparse Gaussian process (g.p.) models seek computational advantages by basing their computations on a set of m basis functions that are the covariance function of th...
ICCV
2007
IEEE
14 years 10 months ago
2007
IEEE
Many computer vision tasks may be expressed as the problem of learning a mapping between image space and a parameter space. For example, in human body pose estimation, recent rese...
NIPS
2001
13 years 9 months ago
2001
Abstract--Kernel-based algorithms such as support vector machines have achieved considerable success in various problems in batch setting, where all of the training data is availab...
HICSS
2002
IEEE
14 years 1 months ago
2002
IEEE
This exploratory study reports on term-long use of a discussion-based GSS by 137 undergraduate business students in a case-based core MIS course. We develop a model of student par...