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Exact(21)
Despite the relatively long training time, the lower entries of the LMS-trained LUT did not converge, which explains the poor performance compared to the NLMS and LCNLMS.
Therefore, SVMs are considered computationally expensive, they run slow with long training time.
Large windows lead to a high number of network inputs, with consequent long training time and high network complexity.
In designing the image recognition system, the traditional convolutional neural network has some defects such as long training time, easy over-fitting and high misclassification rate.
Therefore, collecting many training samples and the associated long training time lead to considerable work and difficulty for researchers in the field of pattern recognition.
Although progresses are made to solve the explained face detection problem, the long training time and the insufficient number of discriminative features remain as challenging issues.
Similar(38)
Many of difficulties are-large network sizes (i.e. curse of dimensionality), long training times, etc.
However, the architecture of the neural network still requires problem-specific tuning and the long training times and hardware requirements remain an issue.
Long training times can be caused by the presence of an input vector whose length is much larger or smaller than the other input factors.
The deficiency of weak generalization ability for many kernel-based intelligent algorithms such as support vector machines requires large datasets and long training times to ensure the modeling performance, which is computationally expensive and ineffective for online rolling situations.
One reason is that the backpropagation algorithm, which is used to train artificial neural networks, usually starts from a random weight initialization which complicates the optimization process leading to long training times and increases the risk of stopping in a poor local minima.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com