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

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 ...

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 ...

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 ...