When using functional classifiers as an annotation system, one must implement a classifier for each functional class in a one-versus-rest setting because as the number of functions increases it becomes intractable to train one-versus-one classifiers.
For each frequency band, we have implemented a non-linear classifier, more specifically a Multi-Layer Perceptron (see Methods S2 and Figure S5 for details), using 21 couples for training (6 networks per couple, each graph corresponding to one of the 6 different strategies, for a total number of 126 networks), and the remaining 5 couples (30 networks in total) for validation.
To this end, we implemented a logistic regression classifier combining the different features and tested its prediction performance (see Methods).
To determine whether the nucleotide sequences of novel extensions show signs of selection for protein coding potential, we implemented a Z-curve classifier, a machine-learning technique that separates coding regions from non-coding regions based upon phased differences in nucleotide k-mer frequency (Gao and Zhang, 2004).
They implement a strong classifier by integrating many weak classifiers.
Random forest is implemented by a classifier named RandomForest in Weka, which was adopted as the classification model and run with its default parameters in the study.
> -wrap-foot> > We also compared the results obtained by the approach designed by Davoli et al. (2013), implemented in a classifier named Tuson.
We present the Flink Machine Learning kNN (FML-kNN for short) framework which implements a probabilistic classifier and a regressor.
The designed three-band filter banks and multi-layer perceptron neural network (MLPNN) are further used together to implement a signal classifier that provides classification accuracy better than the recently reported results for epileptic seizure EEG signal classification.
This study assayed the tumor RNA expression profiles on the exon array platform to implement a prognostic classifier for breast cancer clinical outcome based on splicing variants in breast cancer metastasis.
