Sentence examples for classification machine from inspiring English sources

In this study, an automatic 6-year-old ginseng grade classification machine was developed.

In particular, we used a nu-SVM classification machine and a grid searching of the best parameter of the machine.

To this end, some scholars propose an improved multi-kernel classification machine with Nyström approximation technique (INMKMHKS).

In this work, we have chosen the K-Nearest-Neighbors (K-NN) algorithm, which is widely used for classification, machine learning, and pattern recognition by data miners [42].

While KMHKS only adopts one kernel function, so a multi-kernel classification machine with reduced complexity named Nyström approximation matrix with multiple KMHKSs (NMKMHKS) has been developed.

This last selection allows the trained DMNN to be a very efficient classification machine in the presence of noise at the moment of testing, as we will see later.

Support vector machine (SVM) is a supervised classification machine-learning algorithm [37] commonly used as neuroimaging MVPA [31, 32].

Classification machines just yield a binary output by applying the operator sign to f(x).

But for traditional multiple kernel learning (MKL), many classification machines including INMKMHKS focus on MKL optimizations, for example, the optimization of model for a MKL.

These include but not limited to homology searches, pattern search, function assignment, function annotation, transcription factor binding site prediction, protein family classification using machine learning approaches like support vector machine.

We will use the extracted features from signal processing analyses for classification using machine learning algorithms including: nearest neighbour methods, support vector machines, random forests and gradient boosting.