Machine Learning

Machine learning

Linear classifiers

The Linear classifiers with suitable examples and sketches are discuss here advanced. Linear classifiers is needed to read as engineer student. perceptron Consider one of the oldest classification algorithms – perceptron. The perceptron is a technical model of perception. The model has two layers. The first is the receptor layer, which gives a signal to …

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Machine learning

Bayesian Classifier

The Bayesian Classifier with suitable examples and sketches are discuss here advanced. Bayesian Classifier is needed to read as engineer student. Let us consider one simple method of classification. It is easy to construct an optimal classifier if the probability distribution P generating the pairs (xi, yi) is known. Consider pairs of random variables (X, …

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Machine learning

Statement of the classification problem

Statement of the classification problem with suitable examples and sketches are discuss here advanced. An important problem that arises in the statistical theory of machine learning is how many random examples must be used in training in order to guarantee a sufficiently small classification error with a given degree of reliability. First, we recall the …

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