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Contact state estimation using machine learning CORE

97 Spiral Classifier Hanmail Net Contakt

Probabilistic clustering is utilised to transform the multidimensional data into a onedimensional sequence of symbols which is then used to train a hidden Markov model classifier We present the results of an experiment where the learned classifier can predict a contact location with an accuracy of 97

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