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Moreover, single ConvNet proposed for the task of classification is able to classify 99.55% of the test samples, correctly.
Combined functions using projection and kernel functions are found to be better than pure basis functions for the task of classification in several datasets.
For the task of classification, the quality of the rule set is usually evaluated as a whole rather than evaluating the quality of a single rule.
In this context we propose a reduced and comprehensible polynomial neural network (RCPNN) for the task of classification for which partial descriptions have been developed only for a single layer of the PNN architecture and the output of these partial descriptions along with the features are fed to the output layer of the RCPNN having only one neuron.
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For instance, many commentators say that vagueness exists because broad categories ease the task of classification.
Handcrafted image features designed for the task of scene classification are used as the baseline for comparison.
On some datasets used here a combination of ILTP or FLBP and GF could presumably be beneficial for the task of texture classification.
The proposed formulation is applied for the task of adulthood classification which predicts whether the given face image is of an adult or not.
In the work of [18], the authors created a lyrics dataset manually for the task of music genre classification.
Then, we further optimize our previously proposed real-time ConvNet for the task of traffic sign classification and make it faster and more accurate.
For the task of human shape classification, the most common classifiers are support vector machine [18], adaboost [19], and neural networks.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com