On November 18, 2025, the California Court of Appeal, Fourth Appellate District, issued a published decision in Anton’s Services Inc. v.

A normative computational model of individual differences in mouse exploration driven by reward and threat uncertainty as well as risk sensitivity when faced with a novel object in an open field.

Discover how random forests, a machine-learning technique, enhance prediction accuracy by combining insights from multiple ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Decision-making during the early stages of research and development (R&D) should be ...

Computer vision systems combined with machine learning techniques have demonstrated success as alternatives to empirical methods for classification and selection. This study aimed to classify tomatoes ...

Decision trees are relatively simple but highly successful types of supervised learners. Decision trees take a vector of attribute values as input and return a decision. [Russell, Norvig, AIMA 3rd Ed.

Introduction: The unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in ...

Abstract: This research aims to study, design, and develop a brain tumor classification system using artificial intelligence, specifically decision tree algorithms. The system's primary objective is ...

Abstract: In this paper, the potential of Decision Tree specifically the CART algorithm for classification of weed into two categories namely broad and narrow is employed. Six feature vectors ...