The differences between neural network binary classification and multinomial classification are surprisingly tricky. McCaffrey looks at two approaches to implement neural network binary classification ...

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...

NIPS 2009 Demonstration: Binary Classification using Hardware Implementation of Quantum Annealing (19 page pdf) Previous work [NDRM08, NDRM09] has sought the development of binary classifiers that ...

Forbes contributors publish independent expert analyses and insights. I write about the broad intersection of data and society. Facebook’s explanations for how its heavily promoted AI algorithms ...

Quantum information scientists have introduced a new method for machine learning classifications in quantum computing. The non-linear quantum kernels in a quantum binary classifier provide new ...