Adaptive Formation of Optimal Associative Mappings
The idea of machine learning was originally based on the application of variable elements which change their parametric values by the signals they transmit; later, learning processes have been discussed on a more abstract algorithmic level, and mathematical statistics has become the general setting of these problems. Nevertheless, in its genuine form machine learning is a physical process.
KeywordsInput Vector Input Pattern Projection Matrix Adaptive Filter Stochastic Approximation
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