Results 61 to 70 of about 3,002,307 (310)
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
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Algorithms & Fiduciaries: Existing and Proposed Regulatory Approaches to Artificially Intelligent Financial Planners [PDF]
, 2017 Artificial intelligence is no longer solely in the realm of science fiction. Today, basic forms of machine learning algorithms are commonly used by a variety of companies.
Lightbourne, John
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Experimental demonstration of quantum learning speed-up with classical input data
, 2018 We consider quantum-classical hybrid machine learning in which large-scale input channels remain classical and small-scale working channels process quantum operations conditioned on classical input data. This does not require the conversion of classical (
Bang, Jeongho +6 more
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Molecular Oncology, EarlyView.This study presents a novel AI‐based diagnostic approach—comprehensive serum glycopeptide spectra analysis (CSGSA)—that integrates tumor markers and enriched glycopeptides from serum. Using a neural network model, this method accurately distinguishes liver and pancreatic cancers from healthy individuals.
Motoyuki Kohjima +6 more
wiley +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 +6 more sources
Econometrics and Machine Learning [PDF]
Economie et Statistique / Economics and Statistics, 2019 On the face of it, econometrics and machine learning share a common goal : to build a predictive model, for a variable of interest, using explanatory variables (or features). However, the two fields have developed in parallel, thus creating two different cultures.
Charpentier, Arthur +2 more
openaire +4 more sources
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
Scientific Reports, 2023 In this study, an automated 2D machine learning approach for fast and precise segmentation of MS lesions from multi-modal magnetic resonance images (mmMRI) is presented.
Florian Raab +4 more
doaj +1 more source
Content-Based Management of Human Motion Data: Survey and Challenges
IEEE Access, 2021 Digitization of human motion using skeleton representations offers exciting possibilities for a large number of applications but, at the same time, requires innovative techniques for their effective and efficient processing.
Jan Sedmidubsky +3 more
doaj +1 more source
Automatic generation of hardware Tree Classifiers [PDF]
, 2017 Machine Learning is growing in popularity and spreading across different fields for various applications. Due to this trend, machine learning algorithms use different hardware platforms and are being experimented to obtain high test accuracy and ...
Thanjavur Bhaaskar, Kiran Vishal
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