Titlebook: Artificial Neural Networks and Machine Learning - ICANN 2011; 21st International C Timo Honkela,W?odzis?aw Duch,Samuel Kaski Conference pro

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Fermat’s Last Theorem for Amateurs. The decision tree consists of MLP neural networks, which optimize the split points and at the leaf level predict final outputs. The system is designed for regression problems of big and complex datasets. It was applied to the problem of steel temperature prediction in the electric arc furnace in o

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https://doi.org/10.1007/978-3-662-31589-7lass problem is decomposed into several binary ones. On these created sub-problems we apply binary classifiers and then, by combining the acquired solutions, we are able to solve the initial multi-class problem. In this paper we consider the optimization of the Linear Discriminant Error Correcting O

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Charakterisierung von Bioreaktoren, Self Organizing Structure of HMM) allows to learn the Hidden Markov Models topology. The main contribution for the proposed approach is to automatically extract the structure of a hidden Markov model without any prior knowledge of the application domain. This model can be represented as a graph of

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https://doi.org/10.1007/978-3-7091-8634-3ion potential states, and analyzed the influence of fixed charges of the membrane on the electric potential of the surface of the membranes of these cells, based on experimental values of membrane properties. The ganglion neuron portrays a healthy neuron, and the neuroblastoma cell, which is tumorou

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