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ICML
2005
IEEE
16 years 7 months ago
Heteroscedastic Gaussian process regression
This paper presents an algorithm to estimate simultaneously both mean and variance of a non parametric regression problem. The key point is that we are able to estimate variance l...
Alexander J. Smola, Quoc V. Le, Stéphane Ca...
ALT
2007
Springer
16 years 3 months ago
Pseudometrics for State Aggregation in Average Reward Markov Decision Processes
We consider how state similarity in average reward Markov decision processes (MDPs) may be described by pseudometrics. Introducing the notion of adequate pseudometrics which are we...
Ronald Ortner
ICALT
2008
IEEE
16 years 1 months ago
A SOA-Based Framework for Constructing Problem Solving Environments
In this paper we present a framework for constructing problem solving environments for assessing procedural knowledge, i.e. the student’s ability to apply his/her knowledge in o...
Jaime Gálvez, Eduardo Guzmán, Ricard...
MLDM
2007
Springer
16 years 21 days ago
Kernel MDL to Determine the Number of Clusters
In this paper we propose a new criterion, based on Minimum Description Length (MDL), to estimate an optimal number of clusters. This criterion, called Kernel MDL (KMDL), is particu...
Ivan O. Kyrgyzov, Olexiy O. Kyrgyzov, Henri Ma&ici...
ICANN
2003
Springer
15 years 11 months ago
A Comparison of Model Aggregation Methods for Regression
Combining machine learning models is a means of improving overall accuracy.Various algorithms have been proposed to create aggregate models from other models, and two popular examp...
Zafer Barutçuoglu