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» Arguing from Experience to Classifying Noisy Data
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CEC
2008
IEEE
13 years 9 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
ICANN
2009
Springer
13 years 5 months ago
MINLIP: Efficient Learning of Transformation Models
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...
Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. ...
ICCBR
2007
Springer
13 years 11 months ago
When Similar Problems Don't Have Similar Solutions
The performance of a Case-Based Reasoning system relies on the integrity of its case base but in real life applications the available data used to construct the case base invariabl...
Stewart Massie, Susan Craw, Nirmalie Wiratunga
CSB
2005
IEEE
118views Bioinformatics» more  CSB 2005»
14 years 1 months ago
A Protein Interaction Verification System Based on a Neural Network Algorithm
Large amounts of protein-protein interaction data have been identified using various genome-scale screening techniques. Although interaction data is a valuable resource, high-thro...
Min Su Lee, Seung-Soo Park, Min Kyung Kim
ARGMAS
2009
Springer
14 years 2 months ago
Multi-Party Argument from Experience
Abstract. A framework, PISA, for conducting dialogues to resolve disputes concerning the correct categorisation of particular cases, is described. Unlike previous systems to conduc...
Maya Wardeh, Trevor J. M. Bench-Capon, Frans Coene...