Prototype based fuzzy classification in clinical proteomics
International Journal of Approximate Reasoning
Interpolating support information granules
Neurocomputing
Experiments with Supervised Fuzzy LVQ
ANNPR '08 Proceedings of the 3rd IAPR workshop on Artificial Neural Networks in Pattern Recognition
Fuzzy Gaussian Process Classification Model
ICIAR '09 Proceedings of the 6th International Conference on Image Analysis and Recognition
A study of the robustness of KNN classifiers trained using soft labels
ANNPR'06 Proceedings of the Second international conference on Artificial Neural Networks in Pattern Recognition
Pattern classification and clustering: A review of partially supervised learning approaches
Pattern Recognition Letters
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We extend soft nearest neighbor classification to fuzzy classification with adaptive class labels. The adaptation follows a gradient descent on a cost function. Further, it is applicable for general distance measures, in particular task specific choices and relevance learning for metric adaptation can be done. The performance of the algorithm is shown on synthetic as well as on real life data taken from proteomic research.