Titlebook: Inductive Logic Programming; 32nd International C Elena Bellodi,Francesca Alessandra Lisi,Riccardo Z Conference proceedings 2023 The Editor

BLAZE

Arne Vermeulen,Robin Manhaeve,Giuseppe Marracognition and real time video processing methods. The performance of these algorithms have been severely hampered by their high intensive computation since the new video standards, especially those in high definitions require more resources and memory to achieve their computations. In this paper, we

deforestation

Felix Weitkämper,Dmitriy Ravdin,Ramona Fabrypending on the nature of the parameters to optimise. In the class of combinatorial problems, we find a sub-category which is the binary optimisation problems. Due to the complex nature of optimisation problems, exhaustive search-based methods are no longer a good choice. So, metaheuristics are more

calamity

Youssef Mahmoud Youssef,Martin E. Müllerere it is necessary to process huge amount of data. The efficiency of existing feature selection algorithms significantly downgrades, if not totally inapplicable, when data size exceeds hundreds of gigabytes, because most feature selection algorithms are designed for centralized computing architectu

安心地散步

Daniel Cyrus,James Trewern,Alireza Tamaddoni-Nezhadures that differ from one person to another, and its importance in the security field. This paper proposes an algorithm for face recognition and classification using a system based on WPD, fractal codes and two-dimensional subspace for feature extraction, and Combined Learning Vector Quantization an

LUMEN

嬉耍

invert

,GNN Based Extraction of Minimal Unsatisfiable Subsets, process more efficient. We conduct experiments to compare our proposed method with existing methods on the MUS Track of the 2011 SAT Competition. From the results, NeuroMUSX is shown to achieve significantly better performance across a wide range of problem instances. In addition, training NeuroMUS

Mnemonics

,Few-Shot Learning of Diagnostic Rules for Neurodegenerative Diseases Using Inductive Logic Programmdiseases using fundus images collected from the UK Biobank dataset. The logical representation and reasoning inherent in ILP enhances the interpretability of the detection process. The results highlight the efficacy of ILP in few-shot learning scenarios, showcasing its remarkable generalisation perf

ADOPT

Detonate

,Statistical Relational Structure Learning with Scaled Weight Parameters,time for large domains with minor performance trade-offs, which decrease with the size of the original domain. Additionally, the study explores how scaling reacts to varying domain sizes in a synthetic social network domain. It is observed that DA-MLNs outperform unscaled MLNs when the number of con