Abstract: The article focuses on enhancing sigma-pi neural networks by using polynomial activation functions to address the vanishing gradient problem common in deep networks with linear activations.

Andriy Blokhin has 5+ years of professional experience in public accounting, personal investing, and as a senior auditor with Ernst & Young. Erika Rasure is globally-recognized as a leading consumer ...

Julia Kagan is a financial/consumer journalist and former senior editor, personal finance, of Investopedia. Charlene Rhinehart is a CPA , CFE, chair of an Illinois CPA Society committee, and has a ...

More than a century after publishing major papers in theoretical mathematics, German-born Emmy Noether continues to challenge ...

Quadratic regression is a classical machine learning technique to predict a single numeric value. Quadratic regression is an extension of basic linear regression. Quadratic regression can deal with ...

Oracle-based quantum algorithms cannot use deep loops because quantum states exist only as mathematical amplitudes in Hilbert space with no physical substrate. Criticall ...

Commercial software can’t keep pace with experimental precision when it comes to large-scale computer-algebra calculations in ...

Memory is the faculty by which the brain encodes, stores, and retrieves information. It is a record of experience that guides future action. Memory encompasses the facts and experiential details that ...

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