From these statistical indexes the performance indexes of the binary classifiers are presented: accuracy, Youden index, product Sn and Sp, Matthews Correlation Coeficient (MCC), Approximate Correlation (AC), ROC Curve with AUC index and EER criteria. A method is developed to evaluate a case ...
We used four machine learning binary classifiers to predict patients and healthy controls in this dataset: Decision Tree [61], k-Nearest Neighbors (k-NN) [62], Naïve Bayes [63], and Support Vector Machine with radial Gaussian kernel [64]....
These models were trained as probabilistic binary classifiers predicting the probability that two given occurrences of some target word have the same sense. We use this probability as a measure of similarity between word uses, with higher probability corresponding to more similar uses. All models we...
Security of information and goods is a priority in everyday practice, that is protected by a strict legislative framework and various technological solutions to prevent bridge and unlawful access. Counterfeiting is the most common bridge of security that impacts economy and public health. For example,...
Additional performance improvement can be achieved using different decision fusion schemes and different classifiers. Besides the block-decomposition framework, we point out that the choice of a proper classifier plays an important role in improving detection accuracy, and show that both the logistic ...
The spectra have been transformed into a set of appropriate spectral features ( x -variables); the corresponding chemical structures have been characterized by binary substructure descriptors ( y -variables). PLS-2 mappings exhibit good correlations between the x - and the y -components. PLS ...
Inaccessible Web pages and 404 “Page Not Found” responses are a common Web phenomenon and a detriment to the user’s browsing experience.
This technique is used for its simplicity in terms of the processing power required. Depending on the facial expression, SVM classifiers provide a better classification performance. They represent excellent machine learning tools that compete with new and more complex methods. In addition to this ...
Recently, machine learning techniques have been used to address computational time challenges in phase equilibrium calculations. Gaganis and Varotsis developed a non-iterative solution for phase stability using support vector classifiers trained on EoS-generated data points [8]. They claimed that this ...
For example, in [85], the authors used a multichannel autoencoder (MCAE) to assist classifiers in the learning process. They concluded that the use of MCAE provided better feature representation. In addition, the experimental results validated their methodology for generating synthetic data. In [...