| NOUN | an optimization method | optimization methods |
NOUN article.ind sg | pl
22 Übersetzungen
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- The theory of graph cuts used as an optimization method was first applied in computer vision in the seminal paper by Greig, Porteous and Seheult has turned outAllows to re-run the algorithm much faster after modifying the problem (e.g. ...
- The variance optimization method has the advantage that the exact wavefunction's variance is known.
- In fact, a process optimization method for the extraction of oil from "Crotalaria juncea" is being researched in order to utilize the fuel value in "Crotalaria juncea".
- Any serious parameter optimization method should be translation invariant, but most methods do not exhibit all the above described invariance properties.
- Dynamic programming is both a mathematical optimization method and a computer programming method.
- While they are a valid optimization method for displaying an alternative representation of scripted content, they may be abused, since search engines may index content that is invisible to most visitors.
- published an approach to fitting the parameters of Bollinger Bands using particle swarm optimization method.
- Bellman, is a necessary condition for optimality associated with the mathematical optimization method known as dynamic programming.
- While the basic idea behind stochastic approximation can be traced back to the Robbins–Monro algorithm of the 1950s, stochastic gradient descent has become an important optimization method in machine learning.
- Secondly, the optimization method used might not guarantee to converge when it begins far from any local minimum.
- In numerical optimization, meta-optimization is the use of one optimization method to tune another optimization method.
- The packages provide options for integration method, step size, optimization method, unknowns and cost function, and allow for conditional execution of subsystems to speed execution and prevent numerical errors for certain domains.
- The Jenks optimization method, also called the Jenks natural breaks classification method, is a data clustering method designed to determine the best arrangement of values into different classes.
- This optimization of the neuron weights is often performed using the backpropagation algorithm and an optimization method such as gradient descent or Newton's method of optimization.
- As an optimization method, it is appropriately suited to large-scale population models, adaptive modeling, simulation optimization, and atmospheric modeling.
- In this method, the superellipsoid recovery is reformulated as a maximum likelihood estimation problem, and an optimization method is proposed to avoid local minima utilizing geometric similarities of the superellipsoids.
- There are certain trends in that research; one is to make a hybrid optimization method using PSO combined with other optimizers, e.g., combined PSO with biogeography-based optimization, and the incorporation of an effective learning method.
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