Titlebook: An Introduction to Machine Learning; Miroslav Kubat Textbook 20172nd edition Springer International Publishing AG 2017 Bayesian classifier

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https://doi.org/10.1007/978-3-476-05629-0omes up . eight times out of ten, any reasonable experimenter will suspect this to be nothing but a fluke, expecting that another set of ten tosses will give a result closer to reality. Similar caution is in place when measuring classification performance. To evaluate classification accuracy on a te

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,Der Begriff Akrasia (?κρασ?α), the.-part. Typically, the classifier is represented not by a single rule, but by a set of rules, a.. The paradigm has certain advantages. For one thing, the rules capture the underlying logic, and therefore facilitate explanations of why an example has to be labeled with the given class; for anothe

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Similarities: Nearest-Neighbor Classifiers,uffer from the same disease. In short, similar objects often belong to the same class—an observation that forms the basis of a popular approach to classification: when asked to determine the class of object ., find the training example most similar to it. Then label . with this example’s class.

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Artificial Neural Networks,erfit noisy training data, and because of the sometimes impractically high number of trainable parameters. Much more popular are . where many simple units, called ., are interconnected by weighted links into larger structures of remarkably high performance.

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Computational Learning Theory,at it takes to induce a useful classifier from data, and, conversely, why the outcome of a machine-learning undertaking so often disappoints. And so, even though this textbook does not want to be mathematical, it cannot help introducing at least the basic concepts of the ..

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A Few Instructive Applications,behind a textbook’s toy domains has a way of complicating things, frustrating the engineer with unexpected obstacles, and challenging everybody’s notion of what exactly the induced classifier is supposed to do and why. Just as in any other field of technology, success is hard to achieve without a healthy dose of creativity.

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