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References in periodicals archive ?
The machine learning classifier needs numerical matrices to perform sentiment classification.
To find the best machine learning classifier, we also conduct a comparison between supervision methods.
SVM is used as the machine learning classifier, and the whole feature set with 28079 combined permissions and APIs is used to select.
The accuracy of the Artificial Immune system based machine learning classifier (grid search with 10-fold cross validation) is 99.87.
RF is a machine learning classifier frequently used for malware detection studies in the Android environment [30, 31].
Among the sliding window detection technique, the work of Papgeorgiou and Poggio [19] adopted Haar wavelets representation coupled with a polynomial SVM as the machine learning classifier.
The decision theory-based approach [4, 5, 9] generally uses a statistical or machine learning classifier, such as Bayesian classifiers, Hidden Markov Models (HMMs), Recurrent Neural Networks (RNNs), genetic algorithms, micro-clusters, etc.
Sequences of attention and cognitive workload estimates derived from the EEG signals were used to train a Support Vector Machine ([SVM], a machine learning classifier) to predict the outcome of the problem: correct or incorrect answer.
During the past few years, support vector machine (SVM), a supervised machine learning classifier [6, 8], has emerged as one of the most powerful pattern classification methods [5, 9], and it has become a state of the art in many classification tasks, such as object and face recognition [10], genome sequencing [11, 12], and handwritten recognition [13].
It can be performed using different approaches, one of them as proposed in [21] is based on extracting triplets from text to obtain semantic structure of a document feeding features to a machine learning classifier trained to classify triplets for being included in the document summary or not.
The proposed technique was validated to generate adversarial data from valid examples of handwritten digits and PDF text files while using various machine learning classifiers, including linear classifiers, support vector machines, and neural network classifiers.
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