131 search results - page 10 / 27 » Resolving Variations in Learning Spaces for Experiential Lea... |
ICRA
2006
IEEE
15 years 5 months ago
2006
IEEE
This paper presents an architecture for solving generically the problem of extracting the constraints of a given task in a programming by demonstration framework and the problem...
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GECCO
2008
Springer
15 years 22 days ago
2008
Springer
A genetic algorithm (GA) was developed to implement a maximum variation sampling technique to derive a subset of data from a large dataset of unstructured mammography reports. It ...
IJCAI
2007
15 years 1 months ago
2007
Occam’s razor is the principle that, given two hypotheses consistent with the observed data, the simpler one should be preferred. Many machine learning algorithms follow this pr...
NIPS
2001
15 years 1 months ago
2001
We propose the framework of mutual information kernels for learning covariance kernels, as used in Support Vector machines and Gaussian process classifiers, from unlabeled task da...
SAGA
2001
Springer
15 years 4 months ago
2001
Springer
Inductive inference can be considered as one of the fundamental paradigms of algorithmic learning theory. We survey results recently obtained and show their impact to potential ap...