Interpretability has drawn increasing attention in machine learning. Partially linear additive models provide an attractive middle ground between the simplicity of generalized linear model and the ...

We take a model selection approach to the question of whether a class of adaptive prediction models (artificial neural networks) is useful for predicting future values of nine macroeconomic variables.

"The original t-SNE isn't biologically plausible—it's an engineering method rather than a neural network," says Toyoizumi. "We rewrote the algorithm so that it mimicked a biological neural network." ...