1405 search results - page 12 / 281 » Learning Instance-Specific Predictive Models |
IJAR
2010
13 years 7 months ago
2010
We consider the problem of learning Bayesian network models in a non-informative setting, where the only available information is a set of observational data, and no background kn...
ICMLA
2008
13 years 10 months ago
2008
Learning by imitation has shown to be a powerful paradigm for automated learning in autonomous robots. This paper presents a general framework of learning by imitation for stochas...
EUSFLAT
2003
13 years 10 months ago
2003
In this paper we propose a random set framework for learning linguistic models for prediction problems. We show how we can model prediction problems based on learning linguistic p...
ICDE
2012
IEEE
11 years 11 months ago
2012
IEEE
— Accurate query performance prediction (QPP) is central to effective resource management, query optimization and query scheduling. Analytical cost models, used in current genera...
IJON
2010
13 years 7 months ago
2010
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 ...