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ECML
2006
Springer
15 years 8 months ago
Transductive Gaussian Process Regression with Automatic Model Selection
Abstract. In contrast to the standard inductive inference setting of predictive machine learning, in real world learning problems often the test instances are already available at ...
Quoc V. Le, Alexander J. Smola, Thomas Gärtne...
ICALT
2009
IEEE
15 years 7 months ago
Collaborative Learning by Means of Video Games: An Entertainment System in the Learning Processes
New Technologies have been incorporated to schools as learning tools some time ago. In this paper we remark some advantages of video games as educational systems and how we can us...
Natalia Padilla Zea, José Luis Gonzá...
IJCAI
2003
15 years 5 months ago
Intelligent Multimodal Stream Processing
This poster describes methods to enable intelligent access to multimodal information streams. We illustrate these methods in two integrated systems: the Broadcast News Editor (BNE...
Mark T. Maybury
NIPS
2003
15 years 5 months ago
Gaussian Processes in Reinforcement Learning
We exploit some useful properties of Gaussian process (GP) regression models for reinforcement learning in continuous state spaces and discrete time. We demonstrate how the GP mod...
Carl Edward Rasmussen, Malte Kuss
AMC
2008
78views more  AMC 2008»
15 years 4 months ago
Information processing in complex networks: Graph entropy and information functionals
This paper introduces a general framework for defining the entropy of a graph. Our definition is based on a local information graph and on information functionals derived from the...
Matthias Dehmer