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CEC
2008
IEEE
15 years 8 months ago
Learning defect classifiers for visual inspection images by neuro-evolution using weakly labelled training data
This article presents results from experiments where a detector for defects in visual inspection images was learned from scratch by EANT2, a method for evolutionary reinforcement l...
Nils T. Siebel, Gerald Sommer
PGLDB
2003
129views Database» more  PGLDB 2003»
15 years 8 months ago
Towards a Plan-based Learning Environment
The use of the Plan Recognition/Plan Generation paradigm in the context of corporate training is discussed. The learning environment is grounded on three-level conceptual schemas ...
Angelo E. M. Ciarlini, Antonio L. Furtado
CORR
2008
Springer
87views Education» more  CORR 2008»
15 years 6 months ago
Experts Fusion and Multilayer Perceptron Based on Belief Learning for Sonar Image Classification
The sonar images provide a rapid view of the seabed in order to characterize it. However, in such as uncertain environment, real seabed is unknown and the only information we can o...
Arnaud Martin, Christophe Osswald
AIED
2009
Springer
15 years 11 months ago
An experiment to measure learning in a collaborative assessment environment
The SIETTE collaborative environment allows students to take tests together in small groups. Individuals can communicate and hold discussions to solve test questions. This paper de...
Ricardo Conejo, Beatriz Barros, Eduardo Guzm&aacut...
MCS
2000
Springer
15 years 10 months ago
Ensemble Methods in Machine Learning
Ensemble methods are learning algorithms that construct a set of classi ers and then classify new data points by taking a (weighted) vote of their predictions. The original ensembl...
Thomas G. Dietterich