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» On learning with dissimilarity functions
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GROUP
2010
ACM
14 years 8 months ago
Enhancing group recommendation by incorporating social relationship interactions
Group recommendation, which makes recommendations to a group of users instead of individuals, has become increasingly important in both the workspace and people's social acti...
Mike Gartrell, Xinyu Xing, Qin Lv, Aaron Beach, Ri...
ALT
2000
Springer
15 years 7 months ago
On the Noise Model of Support Vector Machines Regression
Abstract. Support Vector Machines Regression (SVMR) is a learning technique where the goodness of fit is measured not by the usual quadratic loss function (the mean square error),...
Massimiliano Pontil, Sayan Mukherjee, Federico Gir...
UAI
2000
14 years 11 months ago
Utilities as Random Variables: Density Estimation and Structure Discovery
Decision theory does not traditionally include uncertainty over utility functions. We argue that the a person's utility value for a given outcome can be treated as we treat o...
Urszula Chajewska, Daphne Koller
ICML
2009
IEEE
15 years 11 months ago
Curriculum learning
Humans and animals learn much better when the examples are not randomly presented but organized in a meaningful order which illustrates gradually more concepts, and gradually more ...
Jérôme Louradour, Jason Weston, Ronan...
ICML
2008
IEEE
15 years 11 months ago
Apprenticeship learning using linear programming
In apprenticeship learning, the goal is to learn a policy in a Markov decision process that is at least as good as a policy demonstrated by an expert. The difficulty arises in tha...
Umar Syed, Michael H. Bowling, Robert E. Schapire