Titlebook: An Introduction to Machine Learning; Miroslav Kubat Textbook 2021Latest edition Springer Nature Switzerland AG 2021 Bayesian classifiers.b

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Au?enbeziehungen der Universit?t fail. For another, the excessive detail of available attributes may obscure vital information about the data. To cope with these complications, more advanced techniques are needed. This is why . was born.

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Artificial Neural Networks,e links that interconnect the neurons. The task for machine learning is to provide algorithms capable of finding weights that result in good classification behavior. This search is accomplished by a process commonly referred to as a neural network’s ..

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Performance Evaluation,n class labels and then calculating the classifier’s error rate on these examples. In reality, however, error rate rarely paints the whole picture, and there are situations in which it is outright misleading. The reader needs to be acquainted with performance criteria that offer a more plastic view of the classifier’s behavior.

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