The Stochastic Replica Approach to Machine Learning: Stability and Parameter Optimization

We introduce a statistical physics inspired supervised machine learning algorithm for classification and regression problems. The method is based on the invariances or stability of predicted results when known data is represented as expansions in terms of various stochastic functions... (read more)

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