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Consequently, the reported NN using a learning algorithm that based on the gradient descent method, will adjust the coefficients in given Taylor series.
Consequently, the reported architecture using a learning algorithm that based on the gradient descent method, will adjust the coefficients in given Taylor series.
Filter approach [9] is used to select a subset of features from high dimensional datasets without using a learning algorithm.
All filter parameters in the second stage are trainable; their desired values are determined using a learning algorithm.
An artificial neural network is a network of connected artificial neurons that are trained using a learning algorithm.
It makes guesses based on visual cues, then incorporates factors such as location and time of day using a learning algorithm.
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The penguin-recognition software uses a learning algorithm that gets better the more data it encounters.
Next, we use a learning algorithm to intelligently estimate the shape of window and doorway openings even when partially occluded.
What's more, they use a learning algorithm to examine the experimental results from one simulation and then use this to fine tune the selection of data points in the next simulation, an approach known as "active experimental design".
In this paper, we propose to use a learning algorithm that derives such intentional software views from extensional software views, which are much easier to build.
Gerber and associates10, following up the seminal work of Herschel Rabitz and co-workers, have used a learning algorithm to optimize the phase distribution in a light pulse and thereby maximize the relative yield of one or the other of the products of two different bond-breaking reactions of the complicated molecule iron-cyclopentadiene-dicarbonyl chloride, CpFe(CO 2Cl.
More suggestions(15)
using a learning rule
using a hashing algorithm
using a gossiping algorithm
using a learning rate
using a learning club
using a triangulation algorithm
using a learning flow
using a learning automaton
using a learning paradigm
using a learning law
using a learning process
using a learning schema
using a learning style
using a risk algorithm
using a learning transfer
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