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 ...

Google has introduced Mangle, a new open-source programming language that extends the classic logic-based language Datalog for modern deductive database programming. Implemented as a Go library, ...

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The debate between programming languages revolves around the necessity of sticking to ladder logic for ease of troubleshooting versus adopting higher-level languages for enhanced functionality and ...

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 ...

Department of Chemical Engineering, University of Massachusetts Amherst, Amherst, Massachusetts 01003, United States Biotechnology Training Program, University of Massachusetts Amherst, Amherst, ...

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 ...