GitHub

o-ronin-o/decision-trees-random-forest_from_scratch_probabilistic-classifier

Here's the complete project structure: decision-trees-random-forest_from_scratch_probabilistic-classifier/ │ ├── data/ │ ├── raw ...
Frontiers

Posterior averaging with Gaussian naive Bayes and the R package RandomGaussianNB for big-data classification

Department of Mathematics and Statistics, Faculty of Science and Technology, Thammasat University, Khlong Luang, Pathum Thani, Thailand RandomGaussianNB is an open-source R package implementing the ...
Visual Studio Magazine

Decision Tree Regression from Scratch with Pointers Using C#

Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...
Frontiers

Factors affecting subjective cognitive decline: an automated machine learning approach

1 Department of Rehabilitation Medicine, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China 2 School of Mathematics, South China University of Technology, Guangzhou, ...
eLife

Risking your Tail: Modeling Individual Differences in Risk-sensitive Exploration using Bayes Adaptive Markov Decision Processes

Shen et al. present a computational account of individual differences in mouse exploration when faced with a novel object in an open field from a previously published study (Akiti et al.) that relates ...
IEEE

Production Decision Analysis Based on Decision Tree and Bayesian Optimisation

Abstract: This paper proposes a production decision analysis model based on decision tree and Bayesian optimisation, aiming to optimise the decision-making in the production process of enterprises.
MedPage Today

Decision Trees for Psoriasis: Is There One Best Drug?

Leading psoriasis investigators have developed two diagnostic decision trees to help clinicians make optimal determinations about diagnostic and treatment courses. The review appears in the ...