Results 81 to 90 of about 204,920 (268)
This Classroom Action Research is conducted to implement the strategy of guessing to solve the students’ vocabulary interpretation problem of inferring and handling unknown words which, in turn, improves their overall performance in vocabulary course. It
Sofia Maurisa
doaj +1 more source
A Fast Anderson-Chebyshev Acceleration for Nonlinear Optimization
Anderson acceleration (or Anderson mixing) is an efficient acceleration method for fixed point iterations $x_{t+1}=G(x_t)$, e.g., gradient descent can be viewed as iteratively applying the operation $G(x) \triangleq x-\alpha\nabla f(x)$. It is known that
Li, Jian, Li, Zhize
core
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Graph‐based imitation and reinforcement learning for efficient Benders decomposition
Abstract This work introduces an end‐to‐end graph‐based agent for accelerating the computational efficiency of Benders Decomposition. The agent's policy is parameterized by a graph neural network, which takes as input a bipartite graph representation of the master problem and proposes a candidate solution.
Bernard T. Agyeman +3 more
wiley +1 more source
This paper studies two classes of two-person zero-sum games in which the strategies of both players are of a special type.Each strategy can be split into two parts, a taking and a guessing part.In these games two types of asymmetry between the players ...
Dreef, M.R.M., Tijs, S.H.
core +1 more source
Abstract A multipore, multiphase, continuum model is assembled for the first time for room temperature sodium–sulfur (RT Na–S) batteries, with Na+ ion transport and redox reactions in the liquid electrolyte phase and semisolid phase of precipitates softened by the electrolyte solvent, as guided by molecular dynamics simulations in this study ...
Hakeem A. Adeoye +3 more
wiley +1 more source
Defensive forecasting for optimal prediction with expert advice [PDF]
The method of defensive forecasting is applied to the problem of prediction with expert advice for binary outcomes. It turns out that defensive forecasting is not only competitive with the Aggregating Algorithm but also handles the case of "second ...
Vovk, Vladimir
core +4 more sources
We investigate MACE‐MP‐0 and M3GNet, two general‐purpose machine learning potentials, in materials discovery and find that both generally yield reliable predictions. At the same time, both potentials show a bias towards overstabilizing high energy metastable states. We deduce a metric to quantify when these potentials are safe to use.
Konstantin S. Jakob +2 more
wiley +1 more source
Guessing and non-guessing of canonical functions
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Bayesian optimization enabled the design of PA56 system with just 8 wt% additives, achieving limiting oxygen index 30.5%, tensile strength 80.9 MPa, and UL‐94 V‐0 rating. Without prior knowledge, the algorithm uncovered synergistic effects between aluminum diethyl‐phosphinate and nanoclay.
Burcu Ozdemir +4 more
wiley +1 more source

