ABSTRACT: This paper introduces a methodology that enables the relational learning framework to incorporate quantitative data derived from experimental studies in microbial ecology. The focus of using ...

Graph Neural Network directly constructed from the Bottom-Clause generated by Inductive Logic Programming (ILP). The resulting GNN models are to be known as "BotGNNs" (singular, "BotGNN"). The present ...

Inductive Logic Programming (ILP) is a form of Machine Learning. The goal of ILP is to induce a hypothesis, as a set of logical rules, that generalises training examples. This project is intended to ...

The Department of Education (DepEd) on Wednesday said that it will utilize its “best teachers” and tutorial support program to address the literacy gaps among young learners. This comes after the ...

Abstract: Despite recent advances in modern machine learning algorithms, the opaqueness of their underlying mechanisms continues to be an obstacle in adoption. To instill confidence and trust in ...

The world of technology is constantly evolving, and programming languages are at the heart. With countless options available, it can be overwhelming to choose the correct programming language for your ...

JavaScript’s arrays can hold heterogeneous types, change size on the fly, and readily insert or remove elements. Traditional methods like slice, splice, and push/pop do this by operating on the array ...

The Ignition Ecosystem expands with the addition of the new Alliance Partner Program. August 3, 2023 - Inductive Automation has announced the launch of its Alliance Partner Program, a new opportunity ...

This past spring, the Henderson-Hopkins School found itself with an extra 85 students on campus: Twice a week, 55 undergraduate and 30 graduate students from Johns Hopkins University would travel to ...