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While analyzing the importance of features has become ubiquitous in interpretable machine learning, the joint signal from a group of related features is sometimes overlooked or inadvertently excluded.

Most of the statistical methods you are likely to have encountered will have specified fixed functional forms for the relationships between covariates and the response, either implicitly or explicitly ...

This study aimed to investigate whether the functional OXTR rs2254298 polymorphism moderates escitalopram response in Generalized Anxiety Disorder (GAD) through oxytocin (OT) neuroendocrine signaling, ...

We compared the goodness of fit and efficiency of models for germination. Generalized Linear Models (GLMs) were performed with a randomized component corresponding to the percentage of germination for ...

Abstract: This article studies robust adaptive Kalman filtering and smoothing problems for the linear state-space model with heavy-tailed multiplicative (measurement) noise and additive (process and ...

Abstract: The problem of linear time-variant filtering is addressed in the fraction-of-time (FOT) probability framework. The adopted approach, which is an alternative to the classical stochastic one, ...

TalkToEBM is an open-source package that provides a natural language interface to Explainable Boosting Machines (EBMs). With this package, you can convert the graphs of Explainable Boosting Machines ...

Microorganisms are found in diverse communities whose structure and function are determined by interspecific interactions. Just as single species seldom exist in isolation, communities as a whole are ...

Based on the East Coast, Joshua Ko has been an automotive writer for MakeUseOf for over a year and is a die-hard European car enthusiast. He primarily covers car tips and tricks and DIYs. After ...