745 search results - page 63 / 149 » A Preference Model for Structured Supervised Learning Tasks |
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
Learning the structure of graphical models is an important task, but one of considerable difficulty when latent variables are involved. Because conditional independences using hid...
ACL
2006
14 years 11 months ago
2006
When training the parameters for a natural language system, one would prefer to minimize 1-best loss (error) on an evaluation set. Since the error surface for many natural languag...
112
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CORR
2006
Springer
14 years 9 months ago
2006
Springer
Fitness functions based on test cases are very common in Genetic Programming (GP). This process can be assimilated to a learning task, with the inference of models from a limited n...
ICDM
2007
IEEE
15 years 4 months ago
2007
IEEE
The problem of transfer learning, where information gained in one learning task is used to improve performance in another related task, is an important new area of research. While...
105
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AI
2006
Springer
14 years 9 months ago
2006
Springer
In this paper we describe a machine learning approach for acquiring a model of a robot behaviour from raw sensor data. We are interested in automating the acquisition of behaviour...