This paper presents a new architecture to integrate a library of feature extraction, Data-mining, and fusion techniques to automatically and optimally configure a classification solution for a given labeled set of training patterns.
These are the adaptation strategies of DIAS and are configured by the classification criteria provided by the top level.
We investigated two data sets: the PKIS data set, which was used for regression; and a data set extracted from PubChem, which was configured as a classification.
PhenoLink can be configured to generate classification accuracy plots for each experiment (see Additional file 8), which shows how accurately strains were classified.
The report also proposed changing the definition of a light truck in ways that would prevent carlike vehicles, like the Chrysler PT Cruiser, from being configured to fit the classification of light truck, allowing them to guzzle more gas.
The classification accuracy with ALF feature set configured as combination of CLF and PLF has, contrarily, decreased to 87.35%.
After fine-tuning, the deep network is well configured to obtain optimal overall classification performance.
This classification is performed using data from a similarly configured composite bond for which baseline data are available.
Several hyperparameter optimization methods were compared by configuring DNNs for character recognition and age/gender classification.
As a classification algorithm, we used the SVM with optimized parameters configured in DEBT [ 18].
The parallel classification, i.e., the multithreading aspect, is implemented by configuring the AUC of the weak classifier for each data category into a real-value lookup list.
