Results 111 to 120 of about 1,230 (193)

What Is Machine Learning, Artificial Neural Networks and Deep Learning?-Examples of Practical Applications in Medicine. [PDF]

Diagnostics (Basel), 2023
Kufel J, Bargieł-Łączek K, Kocot S, Koźlik M, Bartnikowska W, Janik M, Czogalik Ł, Dudek P, Magiera M, Lis A, Paszkiewicz I, Nawrat Z, Cebula M, Gruszczyńska K.   +13 more
europepmc   +1 more source

Bruhat Order and Coxeter Hyperplane Arrangements

, 2018
In the paper “Bruhat order, rationally smooth Schubert varieties, and hyperplane arrangements,” S. Oh and H. Yoo studied Schubert varieties in generalized flag manifolds by linking them with a certain hyperplane arrangement coming from the reflection ...
McAlmon, Robert
core  

Place-cell capacity and volatility with grid-like inputs. [PDF]

Elife, 2021
Yim MY, Sadun LA, Fiete IR, Taillefumier T.   +3 more
europepmc   +1 more source

Projection volumes of hyperplane arrangements

, 2010
We prove that for any finite real hyperplane arrangement the average projection volumes of the maximal cones is given by the coefficients of the characteristic polynomial of the arrangement. This settles the conjecture of Drton and Klivans that this held
Caroline J. Klivans, Ed Swartz
core  

Stochastically evolving graphs via edit semigroups. [PDF]

Proc Natl Acad Sci U S A
Chung F, Robertson SJ.
europepmc   +1 more source

Continuum limits of discrete isoperimetric problems and Wulff shapes in lattices and quasicrystal tilings. [PDF]

Calc Var Partial Differ Equ, 2022
Del Nin G, Petrache M.
europepmc   +1 more source

Group-based phylogenetic models on 3-sunlet networks. [PDF]

Bull Math Biol
Cox S, Gross E, Martin S.
europepmc   +1 more source

Complex hyperplane arrangements

, 2005
In the Fall of 2004, we were fortunate to spend the semester in residence at MSRI for the program “Hyperplane Arrangements and Applications. ” It was an intense, stimulating, productive, enlightening, eventful and most enjoyable experience.
Michael Falk, Alexander I. Suciu
core  

Spectral analysis of ECG and SpO₂ for machine learning classification of Sleep-Disordered breathing. [PDF]

Sleep Breath
Strumpf ZB, Kaffashi F, Patil SP, Strohl KP, Loparo KA, Jacono FJ.   +5 more
europepmc   +1 more source

Sports Injury Identification Method Based on Machine Learning Model.

Comput Intell Neurosci, 2022
Liu Z, Zhang J, Wu D.
europepmc   +1 more source