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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
ECIR
2008
Springer
15 years 8 months ago
Semantic Relationships in Multi-modal Graphs for Automatic Image Annotation
It is important to integrate contextual information in order to improve the inaccurate results of current approaches for automatic image annotation. Graph based representations all...
Vassilios Stathopoulos, Jana Urban, Joemon M. Jose
DAGSTUHL
2006
15 years 8 months ago
Prediction Markets: How Do Incentive Schemes Affect Prediction Accuracy?
The results of recent studies on prediction markets are encouraging. Prior experience demonstrates that markets with different incentive schemes predicted uncertain future events ...
Stefan Luckner
NIPS
1990
15 years 7 months ago
Back Propagation is Sensitive to Initial Conditions
This paper explores the effect of initial weight selection on feed-forward networks learning simple functions with the back-propagation technique. We first demonstrate, through th...
John F. Kolen, Jordan B. Pollack
ICALT
2007
IEEE
15 years 6 months ago
Personalization of Immediate Feedback to Learning Styles
Feedback provided to a user is an important part of learning and interaction in e-learning systems. In this paper we present the results of our pilot experiment aimed to study int...
Ekaterina Vasilyeva, Mykola Pechenizkiy, Tatiana G...