Results 121 to 130 of about 6,088,727 (313)
Multiple Predicate Learning in Two Inductive Logic Programming Settings [PDF]
Luc De Raedt, Nada Lavrač
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Cell Calcification Models and Their Implications for Medicine and Biomaterial Research
Calcification, is the process by which the tissues containing minerals are formed, occurring during normal physiological processes, or in pathological conditions. Here, it is aimed to give a comprehensive overview of the range of cell models available, and the approaches taken by these models, highlighting when and how methodological divergences arise,
Luke Hunter+5 more
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AUTOMATICALLY EXPLORING HYPOTHESES ABOUT FAULT PREDICTION: A COMPARATIVE STUDY OF INDUCTIVE LOGIC PROGRAMMING METHODS [PDF]
William W. Cohen, Prémkumar Dévanbu
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MP-SPILDL: A Massively Parallel Inductive Logic Learner in Description Logic
This article presents MP-SPILDL, a massively parallel inductive logic learner in Description Logic (DL). MP-SPILDL is a scalable inductive Logic Programming (ILP) algorithm that exploits existing Big Data infrastructure to perform large-scale inductive ...
Eyad Algahtani
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Multiscale Profiling of Nanoscale Metal‐Organic Framework Biocompatibility and Immune Interactions
A multi‐scale, hierarchical ‘Safety‐by‐Design’ pipeline combining machine learning, ex vivo human blood assays, and in vivo models enables the systematic immunotoxicity and biocompatibility profiling of nanoscale metal‐organic frameworks, accelerating their safe clinical translation. Abstract The clinical translation of metal‐organic frameworks (MOFs) –
Yunhui Zhuang+12 more
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Review of ?Inductive Logic Programming: Techniques and Applications? by Nada Lavra?, Sa?o D?eroski [PDF]
Michael J. Pazzani
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This work presents a “tooth‐on‐chip” device that mimics dental pulp tissue. By co‐culturing key cell types, it recreates vascular networks, stem cell niches, the odontoblast/dentine interface, and trigeminal innervation. This innovative platform provides a unique model of dental pulp structure and physiology, with significant potential for accelerating
Alessandro Cordiale+6 more
wiley +1 more source
Meta-Interpretive LEarning with Reuse
Inductive Logic Programming (ILP) is a research field at the intersection between machine learning and logic programming, focusing on developing a formal framework for inductively learning relational descriptions in the form of logic programs from ...
Rong Wang+3 more
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Despite significant efforts in developing novel biomaterials to regenerate tissue, only a few of them have successfully reached clinical use. It has become clear that the next generation of biomaterials must be multifunctional. Smart biomaterials can respond to environmental or external stimuli, interact in a spatial‐temporal manner, and trigger ...
Sonya Ghanavati+12 more
wiley +1 more source
Inductive Logic Programming in Clementine [PDF]
Sam Brewer, Tom Khabaza
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