557 search results - page 8 / 112 » Learning programs from noisy data |
ICANN
2009
Springer
13 years 8 months ago
2009
Springer
Abstract. This paper studies a risk minimization approach to estimate a transformation model from noisy observations. It is argued that transformation models are a natural candidat...
PKDD
2004
Springer
14 years 4 months ago
2004
Springer
This paper proposes an efficient method to learn from multi source data with an Inductive Logic Programming method. The method is based on two steps. The first one consists in lea...
CVPR
2009
IEEE
15 years 6 months ago
2009
IEEE
Many perception and multimedia indexing problems involve datasets that are naturally comprised of multiple streams or modalities for which supervised training data is only sparsely...
GECCO
2007
Springer
14 years 5 months ago
2007
Springer
In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...
CBMS
2006
IEEE
14 years 5 months ago
2006
IEEE
Inductive learning systems have been successfully applied in a number of medical domains. It is generally accepted that the highest accuracy results that an inductive learning sys...