Results 31 to 40 of about 1,920 (200)
Groups with pronormal deviation
The structure of locally soluble groups in which all subgroups are pronormal is known, and many authors have investigated groups which are rich in pronormal subgroups.
de Giovanni F. +2 more
core +2 more sources
Background In the last decade, the increase in the use of the direct anterior approach to the hip has contributed to the diffusion of the use of short stems in orthopedic surgery.
Fabrizio Rivera +2 more
doaj +1 more source
A Note on the Minimax Solution for the Two-Stage Group Testing Problem [PDF]
Group testing is an active area of current research and has important applications in medicine, biotechnology, genetics, and product testing. There have been recent advances in design and estimation, but the simple Dorfman procedure introduced by R. Dorfman in 1943 is widely used in practice.
Malinovsky, Yaakov, Albert, Paul S.
openaire +3 more sources
Minimax properties of Fréchet means of discretely sampled curves [PDF]
We study the problem of estimating a mean pattern from a set of similar curves in the setting where the variability in the data is due to random geometric deformations and additive noise.
Gendre, Xavier +3 more
core +1 more source
On invariant ideals in crossed products of torsion-free minimax nilpotent groups
Let $R$ be a finitely generated commutative domain and let $N$ be a nilpotent minimax torsion-free group acted by a solvable group of operators $G$ of finite rank.
A.V. Tushev
doaj +1 more source
A note on the Dancer–Fučík spectra of the fractional p-Laplacian and Laplacian operators
We study the Dancer–Fučík spectrum of the fractional p-Laplacian operator. We construct an unbounded sequence of decreasing curves in the spectrum using a suitable minimax scheme. For p = 2, we present a very accurate local analysis.
Perera Kanishka +2 more
doaj +1 more source
AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley +1 more source
Estimation minimax adaptative en inférence géométrique
We focus on the problem of manifold estimation: given a set of observations sampled close to some unknown submanifold M , one wants to recover information about the geometry of M. Minimax estimators which have been proposed so far all depend crucially on
Divol, Vincent
core +1 more source
Differential item functioning detection across multiple groups
Abstract Differential item functioning (DIF) can be investigated by estimating item response theory (IRT) parameters separately for different respondent groups, thus allowing for the detection of discrepancies in parameter estimates across groups. However, before comparing the estimates, it is necessary to convert them to a common metric due to the ...
Michela Battauz
wiley +1 more source
Computing Skinning Weights via Convex Duality
We present an alternate optimization method to compute bounded biharmonic skinning weights. Our method relies on a dual formulation, which can be optimized with a nonnegative linear least squares setup. Abstract We study the problem of optimising for skinning weights through the lens of convex duality.
J. Solomon, O. Stein
wiley +1 more source

