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arXiv · 1903.01167

Binary Classifier Inspired by Quantum Theory

Prayag Tiwari·Massimo Melucci
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Abstract

Machine Learning (ML) helps us to recognize patterns from raw data. ML is used in numerous domains i.e. biomedical, agricultural, food technology, etc. Despite recent technological advancements, there is still room for substantial improvement in prediction. Current ML models are based on classical theories of probability and statistics, which can now be replaced by Quantum Theory (QT) with the aim of improving the effectiveness of ML. In this paper, we propose the Binary Classifier Inspired by Quantum Theory (BCIQT) model, which outperforms the state of the art classification in terms of recall for every category.

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Prayag Tiwari, Massimo Melucci. 2019-03-04. Binary Classifier Inspired by Quantum Theory. https://arxiv.org/abs/1903.01167

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