过去一年中添加的文章,按日期排序

FunBO: Discovering Acquisition Functions for Bayesian Optimization with FunSearch

V Aglietti, I Ktena, J Schrouff, E Sgouritsa… - arXiv e …, 2024 - ui.adsabs.harvard.edu
13 天前 - … across optimization problems, often requiring ad-hoc and problem-specific choices.
… , we propose FunBO, an LLM-based method that can be used to learn new AFs written in …

Quantum Binary Improved Artificial Bee Colony Algorithm to Solve the Spanning Tree Construction Problem in Vehicular Ad hoc Network

X Pan, D Peng, S Li - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
14 天前 - intelligence optimization algorithms to address the spanning tree construction
problem. However, these methods … proposes a Quantum Binary Artificial Bee Colony algorithm (…

The era of artificial intelligence: what implications for the board of directors?

P Agnese, FR Arduino, D Di Prisco - Corporate Governance: The …, 2024 - emerald.com
14 天前 - … Due to its strong information process abilities, can artificial intelligence substitute for
boards to … To this end, a further “ad hoc” committee could be envisaged within the board in …

[PDF][PDF] Automatic Language Identification in Texts by Tommi Jauhiainen, Marcos Zampieri, Timothy Baldwin, and Krister Lindén

T Lippincott - 2024 - direct.mit.edu
15 天前 - … When challenges arise in specific, applied downstream research, they are often
addressed in an ad hoc fashion, such as through active learning techniques for gathering …

Potassium Channels

S Furini - Springer
15 天前 - … These include experimental techniques such as nuclear magnetic resonance, …
computational methods for the structural and functional analysis of K+ channels, in the Methods

[图书][B] Potassium Channels: Methods and Protocols

S Furini - books.google.com
15 天前 - methods for the structural and functional analysis of K+ channels, in the Methods in
Molecular … Finally, we demonstrate a leaflet perfusion method and present detailed methods. …

Rapid Optimization of Superposition Codes for Multi-Hop NOMA MANETs via Deep Unfolding

T Alter, N Shlezinger - arXiv preprint arXiv:2406.05747, 2024 - arxiv.org
16 天前 - … are expected to utilize mobile ad hoc networks (MANETs). … emerging deep unfolding
methodology, leveraging data to … of principled optimization and machine learning yields a …

Parametric Intrusive Reduced Order Models enhanced with Machine Learning Correction Terms

A Ivagnes, G Stabile, G Rozza - arXiv preprint arXiv:2406.04169, 2024 - arxiv.org
18 天前 - Artificial neural network based correction for reduced order models in computational
fluid mechanics. Computer Methods in Applied Mechanics and Engineering, 415:116232, …

Machine Learning Models for Computational Structural Mechanics

M Jokar - 2024 - hammer.purdue.edu
19 天前 - … -based techniques, FENA does not require ad hoc training … available from analytical
methods or traditional finite element … advantage over traditional numerical solution methods. …

Recurrent Distance Filtering for Graph Representation Learning

Y Ding, A Orvieto, B He, T Hofmann - … on Machine Learning, 2024 - openreview.net
19 天前 - ad-hoc positional encoding. In this paper, we propose a new architecture to reconcile
these challenges. Our approach … Hence, state-of-the-art graph transformers rely on ad hoc