We present an EM-algorithm for the problem of learning preferences with Gaussian processes in the context of multi-task learning. We validate our approach on an audiological data ...
We introduce a Game Logic with Preferences (GLP), which makes it possible to reason about how information or assumptions about the preferences of other players can be used by agen...
Sieuwert van Otterloo, Wiebe van der Hoek, Michael...
An implicit assumption of many machine learning algorithms is that all attributes are of the same importance. An algorithm typically selects attributes based solely on their statis...
We present a new method, called UTAGMS , for multiple criteria ranking of alternatives from set A using a set of additive value functions which result from an ordinal regression. ...
Salvatore Greco, Vincent Mousseau, Roman Slowinski
To handle the overwhelming amount of information currently available, personalization systems allow users to specify the information that interests them through preferences. Most ...