Results 201 to 210 of about 8,736,022 (255)

Human digital twins in women's health nursing. [PDF]

Womens Health Nurs
Kim HK.
europepmc   +1 more source

MSstatsQC-ML: A Supervised Machine Learning Approach to Monitor System Suitability and Quality Control in Mass Spectrometry-Based Proteomics. [PDF]

J Proteome Res
Dogu E, Gupta S, Olivella R, Sabido E, Vitek O.   +4 more
europepmc   +1 more source

A Multidisciplinary Team-Based Large Language Model Framework for Predicting Postoperative Neurological Complications in Acute Type A Aortic Dissection: Model Development and Validation Study. [PDF]

J Med Internet Res
Li J, Zhang J, Tao X, Chen Y, Xun S, Qin G, Diao K, Qin C.   +7 more
europepmc   +1 more source

Recent advances in the application of artificial intelligence and wearable devices in volleyball. [PDF]

Front Sports Act Living
Zhou G, Shi X, Wang Y, Xu K, Shi W, Li Q, Park J.   +6 more
europepmc   +1 more source

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Machine learning versus statistical modeling

Biometrical Journal, 2014
This is a discussion of the following papers: “Probability estimation with machine learning methods for dichotomous and multicategory outcome: Theory” by Jochen Kruppa, Yufeng Liu, Gérard Biau, Michael Kohler, Inke R. König, James D. Malley, and Andreas Ziegler; and “Probability estimation with machine learning methods for dichotomous and multicategory
Boulesteix, Anne-Laure, Schmid, Matthias
openaire   +3 more sources

Parameter Identifiability in Statistical Machine Learning: A Review

Neural Computation, 2017
This review examines the relevance of parameter identifiability for statistical models used in machine learning. In addition to defining main concepts, we address several issues of identifiability closely related to machine learning, showing the advantages and disadvantages of state-of-the-art research and demonstrating recent progress.
Zhi-Yong Ran, Bao-Gang Hu
openaire   +3 more sources

An application of machine learning and statistics to defect detection

Intelligent Data Analysis, 2001
We present an application of machine learning and statistics to the problem of distinguishing between defective and non-defective industrial workpieces, where the defect takes the form of a long and thin crack on the surface of the piece. From the images of pieces a number of features are extracted by using the Hough transform and the Correlated Hough ...
CUCCHIARA R, MELLO P, PICCARDI M, RIGUZZI, Fabrizio   +3 more
openaire   +4 more sources