428 search results - page 37 / 86 » Preference learning with Gaussian processes |
129
Voted
TSMC
2010
14 years 9 months ago
2010
Abstract--This paper presents a dynamic predictiveoptimization framework of a nonlinear temporal process. Datamining (DM) and evolutionary strategy algorithms are integrated in the...
127
Voted
ICIAP
1999
ACM
15 years 6 months ago
1999
ACM
In this work we propose a new supervised deformable model that generalizes the classical contour-based snake. This model is defined to deform in a feature space generated by a se...
137
Voted
ICML
2004
IEEE
16 years 3 months ago
2004
IEEE
Variational inference methods, including mean field methods and loopy belief propagation, have been widely used for approximate probabilistic inference in graphical models. While ...
124
Voted
ICML
2006
IEEE
16 years 3 months ago
2006
IEEE
Inference in Markov Decision Processes has recently received interest as a means to infer goals of an observed action, policy recognition, and also as a tool to compute policies. ...
136
Voted
ECTEL
2007
Springer
15 years 8 months ago
2007
Springer
Abstract. The goal of the APOSDLE (Advanced Process-Oriented SelfDirected Learning environment) project is to support work-integrated learning of knowledge workers. We argue that w...