Sentence examples for using the supervised machine from inspiring English sources

The machine learning algorithms are made by using the supervised machine learning methods such as artificial neural network model and local linear neuro-fuzzy models.

Given the workload, we decided to automate the classification of the free text answers to CAIQ questions using the supervised machine learning algorithms (sequential minimal optimization and string vectorization) provided by the WEKA tool [26].

For this set of results a 10-fold cross-validation approach was used to train and test the supervised machine learning method.

Dr. PIAS assesses the druggability of PPIs based on one of the supervised machine learning method, SVM, using the computational program package Libsvm (http://www.csie.ntu.edu.tw/∼cjlin/libsvm/).ntu.edu.tw/∼cjlin/libsvm/

We find that leaving one feature out has only a minor effect on the results of the supervised machine learning algorithms we used, likely because many features are highly correlated to others.

To predict liver cirrhosis, five classifiers were constructed based on the training set using five supervised machine learning methods (naïve Bayes: NB: multilayered perceptron: MLP: support vector machine: SVM; C4.5 decision tree; DT; classification and regression tree; CART) in WEKA, respectively.

A successful classification of the prefectures of Greece (in forest fire risk zones) was performed by the expert system by comparing the produced fuzzy expected intervals to each other and by using a supervised machine learning algorithm that assigns a certain weight of forest fire risk to each prefecture (Machine Learning, John Wiley and Sons, 1995).

Pixel-based and object-based image analysis approaches for classifying broad land cover classes over agricultural landscapes are compared using three supervised machine learning algorithms: decision tree (DT), random forest (RF), and the support vector machine (SVM).

Methods: A neuroanatomical-based age prediction model was trained using a supervised machine learning technique with T1 MRI scans from 953 typically developing healthy controls (HC) from the Pediatric Imaging, Neurocognition, and Genetics study (PING) study.

Greevy & Smeaton [21] classified racist content in Web pages using a supervised machine learning approach with a bag-of-words (BOW) as features.

More precisely, the term classification is based on using supervised machine learning and the goal is to use training data to predict future class membership of a sample or certain characteristics of the whole data set [ 54].