Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the naive Bayes regression ...

There are roughly a dozen different regression techniques such as linear regression ... The predicted y value is the average of the predictions made by the collection of k-nearest neighbor systems.

Researchers used machine learning models to predict preterm birth risk, identifying linear SVMs as the most accurate, with ...

Bob Dylan famously asked, “How many roads must a man walk down, before you can call him a man?”. The power of the question is ...

Khatun, N. (2025) Evaluations of Machine Learning Algorithms Using Simulation Study. Open Journal of Statistics, 15, 41-52.

Using a novel deep learning approach, we evaluated the predictive power of the functional connectome during various states (resting state, movie-watching, and n-back) on episodic memory and working ...

The significance of AI Artificial intelligence plays a big role in modern crisis prevention across various industries. In ...

In a leap for urban ecology, researchers have unveiled a cutting-edge method to dynamically estimate seasonal tree heights in ...

In a leap for urban ecology, researchers have unveiled a cutting-edge method to dynamically estimate seasonal tree heights in ...

Objective Disease activity both between and within patients with SLE is highly variable, yet factors driving this variability remain unclear. This study aimed to identify predictors of variability in ...

Ruby Tsang summarises a recent longitudinal study of trajectories of inflammation in youth and risk of mental and ...

We used the Jim software (V.7.0, Xinapse Systems ... of no interest in the regression models to adjust for linear age and sex dependency. Models including ventral tissue bridges were also corrected ...