Results 31 to 40 of about 933,480 (358)
HEBO: An Empirical Study of Assumptions in Bayesian Optimisation
Journal of Artificial Intelligence Research, 2022 In this work we rigorously analyse assumptions inherent to black-box optimisation hyper-parameter tuning tasks. Our results on the Bayesmark benchmark indicate that heteroscedasticity and non-stationarity pose significant challenges for black-box ...
A. Cowen-Rivers +10 more
semanticscholar +1 more source
Pharmaceutics, 2019 Drug delivery into the brain is regulated by the blood−brain interfaces. The blood−brain barrier (BBB), the blood−cerebrospinal fluid barrier (BCSFB), and the blood−arachnoid barrier (BAB) regulate the exchange of substances ...
David Gomez-Zepeda +4 more
doaj +1 more source
A literature survey of benchmark functions for global optimisation problems [PDF]
Int. J. Math. Model. Numer. Optimisation, 2013 Test functions are important to validate and compare the performance of optimisation algorithms. There have been many test or benchmark functions reported in the literature; however, there is no standard list or set of benchmark functions.
Momin Jamil, Xin-She Yang
semanticscholar +1 more source
Patient and public involvement in designing and conducting doctoral research: the whys and the hows
Research Involvement and Engagement, 2019 Plain English summary Evidence shows that public and patient involvement in research has a positive effect on its quality and end-results. Thus, public and patient involvement in all stages of research is becoming commonplace.
Justine Tomlinson +4 more
doaj +1 more source
A Systematic Literature Review on Fake News in the COVID-19 Pandemic: Can AI Propose a Solution?
Applied Sciences, 2022 The COVID-19 pandemic has led to an incredible amount of fake news and conspiracy theories around the world. Calls for the integration of COVID-19 and fake news-related research have been advanced in various fields. This paper aims to unpack a structured
Tanvir Ahmad +2 more
doaj +1 more source
Optimising Optimisers with Push GP [PDF]
, 2020 This work uses Push GP to automatically design both local and population-based optimisers for continuous-valued problems. The optimisers are trained on a single function optimisation landscape, using random transformations to discourage overfitting.
openaire +2 more sources
BMC Health Services Research, 2021 Background Older patients are at severe risk of harm from medicines following a hospital to home transition. Interventions aiming to support successful care transitions by improving medicines management have been implemented.
Justine Tomlinson +4 more
doaj +1 more source
Pharmaceutics, 2022 A drug/proton-antiporter, whose the molecular structure is still unknown, was previously evidenced at the blood-brain barrier (BBB) by functional experiments. The computational method could help in the identification of substrates of this solute carrier (
Maria Smirnova +6 more
doaj +1 more source
A Study on Phase-Changing Materials for Controllable Stiffness in Robotic Joints
Robotics, 2022 This paper studies the viability of using a class of phase-changing materials for the design of controlled variable stiffness robotic joints which enable the design of robots that can operate in confined spaces.
Bingyin Ma +3 more
doaj +1 more source
Numerical modeling of shape and topology optimisation of a piezoelectric cantilever beam in an energy-harvesting sensor [PDF]
, 2016 Piezoelectric materials are excellent transducers for converting mechanical energy from the environment for use as electrical energy. The conversion of mechanical energy to electrical energy is a key component in the development of self-powered devices ...
Liu, Jing-Sheng, Thein, Chung Ket
core +1 more source