Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Franz J. Király"'
Autor:
Duncan A J Blythe, Franz J Király
Publikováno v:
PLoS ONE, Vol 11, Iss 6, p e0157257 (2016)
We present a novel, quantitative view on the human athletic performance of individual runners. We obtain a predictor for running performance, a parsimonious model and a training state summary consisting of three numbers by application of modern valid
Externí odkaz:
https://doaj.org/article/e42367ee61d44b808aadd55e86e29893
Publikováno v:
IEEE Transactions on Signal Processing. 68:558-572
In this paper, we propose an algorithm for source separation with side information where one observes the linear superposition of two source signals plus two additional signals that are correlated with the mixed ones. Our algorithm is based on two in
Publikováno v:
Bioinformatics
As machine learning has become increasingly popular over the last few decades, so too has the number of machine learning interfaces for implementing these models. Whilst many R libraries exist for machine learning, very few offer extended support for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::afb9c2288058ffd4fa64208e93b75f0b
Autor:
Thibaut Lienart, Diego Arenas, Sebastian J. Vollmer, Yiannis Simillides, Anthony D. Blaom, Franz J. Király
MLJ (Machine Learing in Julia) is an open source software package providing a common interface for interacting with machine learning models written in Julia and other languages. It provides tools and meta-algorithms for selecting, tuning, evaluating,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb695bdf8c4ed5b0d34f396f6ccb1d70
Autor:
Alkeos Tsokos, Franz J. Király, Mihai Cucuringu, Gianluca Baio, Ioannis Kosmidis, Gavin A. Whitaker, Santhosh Narayanan
Publikováno v:
Machine Learning. 108:77-95
We compare various extensions of the Bradley-Terry model and a hierarchical Poisson log-linear model in terms of their performance in predicting the outcome of soccer matches (win, draw, or loss). The parameters of the Bradley-Terry extensions are es
Publikováno v:
GlobalSIP
This paper puts forth new recovery guarantees for the source separation problem in the presence of side information, where one observes the linear superposition of two source signals plus two additional signals that are correlated with the mixed ones
Autor:
Raphael Sonabend, Franz J. Király
Publikováno v:
The R Journal. 13:444
distr6 is an object-oriented (OO) probability distributions interface leveraging the extensibility and scalability of R6, and the speed and efficiency of Rcpp. Over 50 probability distributions are currently implemented in the package with `core' met
Autor:
Franz J. Király, Raphael Sonabend
Publikováno v:
Journal of Open Source Software. 5:2598
Autor:
Harry Hemingway, Rayid Ghani, Pall Jonsson, Franz J. Király, Moons Kgm., Christopher Holmes, Richard Branson, Sebastian J. Vollmer, McAllister Ksl., Gergo Bohner, Gary S. Collins, Bilal A. Mateen, A Jonas, Mark Birse, Ioannidis Jpa., Puja R. Myles, David Granger, Sarah Cumbers
Publikováno v:
BMJ. :l6927
Machine learning, artificial intelligence, and other modern statistical methods are providing new opportunities to operationalise previously untapped and rapidly growing sources of data for patient benefit. Despite much promising research currently b
Autor:
Matthias Bussas, Alessia Saverino, Franz J. Király, E. Diane Playford, Catherine Doogan, Bilal A. Mateen, Denise Waller
Objective: To determine whether tests of cognitive function and patient-reported outcome measures of motor function can be used to create a machine learning-based predictive tool for falls. Design: Prospective cohort study. Setting: Tertiary neurolog
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::18b3e2b2395ea600fcc7f2f8537e3358
http://wrap.warwick.ac.uk/109062/1/WRAP-Trail-Making-test-predict-falls-neurological-in-patient-Playford-2018.pdf
http://wrap.warwick.ac.uk/109062/1/WRAP-Trail-Making-test-predict-falls-neurological-in-patient-Playford-2018.pdf