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Titlebook: Machine Learning and Data Mining in Pattern Recognition; 9th International Co Petra Perner Conference proceedings 2013 Springer-Verlag Berl

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,Feature Learning for Detection and Prediction of Freezing of Gait in Parkinson’s Disease,t the patient’s quality of life. Wearable systems that detect FoG have been developed to help patients resume walking by means of auditory cueing. However, current methods for automated detection are not yet ideal. In this paper, we first compare feature learning approaches based on time-domain and
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A Pattern Based Two-Stage Text Classifier, documents that are closed to positive documents. Therefore, it is hard for a single classifier to clearly classify incoming documents into classes. This paper proposes a novel gradual problem solving to create a two-stage classifier. The first stage identifies reliable negatives (negative documents
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Preceding Rule Induction with Instance Reduction Methods,e predictive accuracy and size of rule-sets generated from 24 datasets from the UCI Machine Learning Repository. Three instance reduction algorithms (Edited Nearest Neighbour, AllKnn and DROP5) are compared. Each one is used to reduce the size of the training set, prior to inducing a set of rules us
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