Results 231 to 240 of about 168,726 (280)
A Guide to Bayesian Optimization in Bioprocess Engineering
ABSTRACT Bayesian optimization has become widely popular across various experimental sciences due to its favorable attributes: it can handle noisy data, perform well with relatively small data sets, and provide adaptive suggestions for sequential experimentation.
Maximilian Siska +5 more
wiley +1 more source
Commutative avatars of representations of semisimple Lie groups. [PDF]
Hausel T.
europepmc +1 more source
Isoperimetric inequalities on slabs with applications to cubes and Gaussian slabs
Abstract We study isoperimetric inequalities on “slabs”, namely weighted Riemannian manifolds obtained as the product of the uniform measure on a finite length interval with a codimension‐one base. As our two main applications, we consider the case when the base is the flat torus R2/2Z2$\mathbb {R}^2 / 2 \mathbb {Z}^2$ and the standard Gaussian measure
Emanuel Milman
wiley +1 more source
Reassessing the foundations of metric-affine gravity. [PDF]
François J, Ravera L.
europepmc +1 more source
We introduce ENHYDROSS, a new mechanistic model that uses optimal swimming speed and minimum cost of transport to estimate maximum dispersal distances and durations for vertebrates, enabling assessment of long‐distance oceanic dispersal potential. Applied to a range of extant and extinct animals, the model's estimates generally align with observed data;
Alexandros Pantelides +5 more
wiley +1 more source
Born's Rule from Contextual Relative-Entropy Minimization. [PDF]
Zaghi A.
europepmc +1 more source
A GA‐BP neural network model with optimized preprocessing and clustering reduces line loss calculation errors and improves efficiency in distribution networks. ABSTRACT Traditional methods for calculating distribution line losses often rely on complex mathematical models and extensive operational data, leading to cumbersome processes that struggle to ...
Tianjun Chen +4 more
wiley +1 more source
A Lie algebraic theory of barren plateaus for deep parameterized quantum circuits. [PDF]
Ragone M +6 more
europepmc +1 more source
Smart meter (SM): Collect the data of users' electricity consumption periodically, and preprocess the noise reduction by using the Robust Local Weighted Regression algorithm, then encrypt the private data in it by Boneh‐Goh‐Nissim homomorphic encryption, and submit the encrypted private data to the fog node.
Jiangtao Guo +5 more
wiley +1 more source
Type-II neural symmetry detection with Lie theory. [PDF]
Gabel A, Quax R, Gavves E.
europepmc +1 more source

