ProtDCal sequence-based features were computed for each position of these segments. Feature selection was carried out twice using the Weka wrapper approach: once using a Random Forest (RF) classifier as the eva
propose a Machine Learning method to build a predictive model, where we analyze and compare the performance of eight Machine-learning algorithms (Decision Tree, Random Forest, Extra Tree Classification, Gradient Boosting, Ada Boosting, K-Neighbors, Support Vector Classifier, and Gaussian Naive Bayes)...
A computer analytic system for allocating resources of an electronic tax return preparation system, the system includes an information module configured to collect taxpayer data of a user, the taxpayer data including an indicator of an increased likelihood that the user will abandon the electronic tax...
and the only resulting model is passed to the user. In order to provide explanations for its results, DREBIN’s classifier is trained not only to detect, but also to identify the features that lead to the application being flagged as malware. From these, DREBIN constructs a parametrized senten...
This processing unit is a support-vector machine (SVM), a naive Bayes classifier, a random forest learner or a convolutional neural network, for instance, and the machine learning processing unit 32 employs a machine learning method corresponding to the type of this processing unit so as to imp...
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A naive Bayes classifier is used for an operation. The naive Bayes classifier can reduce the operation amount and improve the accuracy.HAYAMIZU SATORU速水 悟YAMAMOTO KEIKO山本 けい子KINOSADA YASUOMI紀ノ定 保臣KAMEYAMA ATSUSHI亀山 敦之YAMASHITA HIROKI...
Experimental results envisage that the proposed classifier has a good classification accuracy of 86.2%. Performance analysis of the fuzzy classifier further reveals that it outperforms two most widely used classifiers: Support Vector Machine and Naive Bayes classifier....
This processing unit is a support-vector machine (SVM), a naive Bayes classifier, a random forest learner or a convolutional neural network, for instance, and the machine learning processing unit32employs a machine learning method corresponding to the type of this processing unit so as to impleme...