There is a strong technological and economic push for higher education providers to adopt online learning strategies. This is driven, in part, by the requirement of industry for l...
We present an approach to learning the personal preferences of individual users directly from example images. The target application is computer assisted search of partners in onl...
In this paper we propose a Gaussian-kernel-based online kernel density estimation which can be used for applications of online probability density estimation and online learning. ...
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...
Jyrki Kivinen, Alex J. Smola, Robert C. Williamson
This paper investigates the relationship between student role-behavior and position in a Social Network and the processes of creating sustained collaborative knowledge building in...