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» Strategies For Fuzzy Inference within Classifier Systems
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ESANN
2007
13 years 11 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
JCP
2008
116views more  JCP 2008»
13 years 9 months ago
Sensor Location Strategy in Large-Scale Systems for Fault Detection Applications
Fault detection in large-scale systems is conducted by the use of sensors, thus the sensor location influences the performances of fault detection directly. As the scale of systems...
Fan Yang, Deyun Xiao
IJCNN
2000
IEEE
14 years 2 months ago
Computational Intelligence in Adaptive Educational Hypermedia
In this paper neuro-fuzzy synergism is applied to implement content sequencing in adaptive hypermedia systems. The level of understanding of the learner is used to construct lesson...
Kyparisia A. Papanikolaou, George D. Magoulas, Mar...
ICIP
2007
IEEE
14 years 1 months ago
Computer-Aided Grading of Neuroblastic Differentiation: Multi-Resolution and Multi-Classifier Approach
In this paper, the development of a computer-aided system for the classification of grade of neuroblastic differentiation is presented. This automated process is carried out withi...
Jun Kong, Olcay Sertel, Hiroyuki Shimada, Kim L. B...
IDA
2002
Springer
13 years 9 months ago
Boosting strategy for classification
This paper introduces a strategy for training ensemble classifiers by analysing boosting within margin theory. We present a bound on the generalisation error of ensembled classifi...
Huma Lodhi, Grigoris J. Karakoulas, John Shawe-Tay...