Results 91 to 100 of about 8,972,433 (325)
Advanced Engineering Materials, EarlyView., 2023 A novel method for tracking structural changes in gels using widely accessible microcomputed tomography is presented and validated for various hydro‐, alco‐, and aerogels. The core idea of the method is to track positions of micrometer‐sized tracer particles entrapped in the gel and relate them to the density of the gel network.
Anja Hajnal +3 more
wiley +1 more source
Frontiers in Animal SciencePig farming is a major sector of livestock production. The preweaning stage is a critical period in the pig farming process, where lactation-related behaviors between sows and their piglets directly influence the preweaning survivability of the piglets ...
Yu-Jung Tsai +7 more
doaj +1 more source
The Tribes of Machine Learning and the Realm of Computer Architecture [PDF]
arXiv, 2020 Machine learning techniques have influenced the field of computer architecture like many other fields. This paper studies how the fundamental machine learning techniques can be applied towards computer architecture problems. We also provide a detailed survey of computer architecture research that employs different machine learning methods.
arxiv
Machine Learning Playground [PDF]
, 2018 Machine learning is a science that “learns” about the data by finding unique patterns and relations in the data. There are a lot of libraries or tools available for processing machine learning datasets.
Khan, Adil
core +1 more source
Introduction to Machine Learning [PDF]
, 2013 The machine learning field, which can be briefly defined as enabling computers make successful predictions using past experiences, has exhibited an impressive development recently with the help of the rapid increase in the storage capacity and processing power of computers. Together with many other disciplines, machine learning methods have been widely
Baştanlar, Yalın, Özuysal, Mustafa
openaire +4 more sources
Learning machine learning [PDF]
Communications of the ACM, 2018 A discussion of the rapidly evolving realm of machine learning.
Peter J. Denning, Ted G. Lewis
openaire +2 more sources
Molecular Oncology, EarlyView.Prostate cancer is a leading malignancy with significant clinical heterogeneity in men. An 11‐gene signature derived from dysregulated epithelial cell markers effectively predicted biochemical recurrence‐free survival in patients who underwent radical surgery or radiotherapy.
Zhuofan Mou, Lorna W. Harries
wiley +1 more source
A Euclidean transformer for fast and stable machine learned force fields
Nature CommunicationsRecent years have seen vast progress in the development of machine learned force fields (MLFFs) based on ab-initio reference calculations. Despite achieving low test errors, the reliability of MLFFs in molecular dynamics (MD) simulations is facing ...
J. Thorben Frank +3 more
doaj +1 more source
A Shared Task on Bandit Learning for Machine Translation
, 2017 We introduce and describe the results of a novel shared task on bandit learning for machine translation. The task was organized jointly by Amazon and Heidelberg University for the first time at the Second Conference on Machine Translation (WMT 2017). The
Danchenko, Pavel +6 more
core +1 more source
Machine Learning: Science and TechnologyAbstract We present a comprehensive investigation into the learning capabilities of a simple d-level system (qudit). Our study is specialized for classification tasks using real-world databases, specifically the Iris, breast cancer, and MNIST datasets.
Sebastián Roca-Jerat +2 more
openaire +5 more sources