Zobrazeno 1 - 10
of 11 533
pro vyhledávání: '"Rowley P"'
Autor:
Kelsey, Veronica, Rowley, Peter
In the spirit of Conway we define a groupoid starting from projective planes of order $q$, where $q$ is odd. The associated group of these groupoids is then investigated.
Externí odkaz:
http://arxiv.org/abs/2410.22202
Autor:
Kitagawa, Toru, Rowley, Jeff
Static supervised learning-in which experimental data serves as a training sample for the estimation of an optimal treatment assignment policy-is a commonly assumed framework of policy learning. An arguably more realistic but challenging scenario is
Externí odkaz:
http://arxiv.org/abs/2409.00379
Autor:
Nicolaides, Robert, Rowley, Peter
The deletion order of a finitely generated Coxeter group W is a total order on the elements which, as is proved, is a refinement of the Bruhat order. This order is applied in [8] to construct Elnitsky tilings for any finite Coxeter group. Employing t
Externí odkaz:
http://arxiv.org/abs/2407.07881
Autor:
Nicolaides, Robert, Rowley, Peter
Suppose that $W$ is a finite Coxeter group and $W_J$ a standard parabolic subgroup of $W$. The main result proved here is that for any for any $w \in W$ and reduced expression of $w$ there is an Elnitsky tiling of a $2m$-polygon, where $m = [W : W_J]
Externí odkaz:
http://arxiv.org/abs/2407.07975
We consider a simple control problem in which the underlying dynamics depend on a parameter $a$ that is unknown and must be learned. We study three variants of the control problem: Bayesian control, in which we have a prior belief about $a$; bounded
Externí odkaz:
http://arxiv.org/abs/2403.06320
Autor:
Dauphas, Nicolas, Heard, Andy W., Rego, Eric Siciliano, Rouxel, Olivier, Marin-Carbonne, Johanna, Pasquier, Virgil, Bekker, Andrey, Rowley, David
This chapter investigates the complexities surrounding the iron biogeochemical cycle from the Archean to present, with a focus on assessing the balance between iron sources and sinks during long periods of Earth's history with relatively invariable r
Externí odkaz:
http://arxiv.org/abs/2312.09044
Artificial Neural Networks (ANN) have gained significant popularity thanks to their ability to learn using the well-known backpropagation algorithm. Conversely, Spiking Neural Networks (SNNs), despite having broader capabilities than ANNs, have alway
Externí odkaz:
http://arxiv.org/abs/2312.02659
Autor:
Rowley, Christopher D., Nelson, Mark C., Campbell, Jennifer S. W., Leppert, Ilana R., Pike, G. Bruce, Tardif, Christine L.
Purpose: Magnetization transfer saturation (MTsat) mapping is commonly used to examine the macromolecular content of brain tissue. This study compared variable flip angle (VFA) T1 mapping against compressed sensing (cs)MP2RAGE T1 mapping for accelera
Externí odkaz:
http://arxiv.org/abs/2310.09102
Here and in a companion paper, we consider a simple control problem in which the underlying dynamics depend on a parameter $a$ that is unknown and must be learned. In this paper, we assume that $a$ can be any real number and we do not assume that we
Externí odkaz:
http://arxiv.org/abs/2309.10142
Here and in a follow-on paper, we consider a simple control problem in which the underlying dynamics depend on a parameter $a$ that is unknown and must be learned. In this paper, we assume that $a$ is bounded, i.e., that $|a| \le a_{\text{MAX}}$, and
Externí odkaz:
http://arxiv.org/abs/2309.10138