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The goal was minimizing the training computational cost and improving prediction.
Specifically, we model feature learning as an evolution process governed by a PDE, which is designed to be translationally and rotationally invariant and is learned via minimizing the training error, hence extracts discriminative information from data.
This is likely due to the existence of structural risk minimization principle of SVM which is embodied in SVM algorithm and effectively minimizes upper bound of the generalization error, rather than minimizing the training error.
The number of nodes in the hidden layer, the architecture of the lower part of the network, as well as the weights used in them were kept as variables, and a Pareto front was effectively constructed by minimizing the training error along with the network size.
C is a regularization parameter that controls the trade-off between maximizing the margin and minimizing the training error.
First, we show how the problem of minimizing the training energy subject to a quality constraint can be solved, while a 'dual' deterministic (average design) problem is considereda.
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This was primarily accomplished by minimizing the train loading applied to the beam.
In comparison to traditional monolithic neural networks, both the proposed architectures improve classification accuracy and minimize the training complexity.
This membership function will get tuned or adjusted during backward learning process of ANFIS to minimize the training error.
First, we show that the proposed framework can be used to minimize the training energy budget subject to a quality constraint on the MSE of the channel estimator.
By solving the above quadratic programming problem, the SVM tries to maximize the margin between the data points in the two classes and to minimize the training errors simultaneously.
More suggestions(15)
limit the training
minimize the training
minimizing the query
minimizing the processing
minimizing the level
minimizing the impact
minimizing the number
minimizing the damage
minimizing the attrition
minimizing the incidence
minimizing the embarrassment
minimizing the energy
minimizing the entropy
minimizing the threat
minimizing the risk
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