The growing use of the Internet in every life area creates an emerging need to provide information security (IS), and numerous classification algorithms approach this problem. This study provides a systematic literature review on the classification algorithms applications for information security on the ...
Classification models use machine learning to place data into categories or classes based on criteria set by a user. There are several types of classification algorithms, some of which are: Logistic regression: An estimate of an event occurring, usually a binary classification such as a yes or n...
2.A Survey on Self-supervised Learning: Algorithms, Applications, and Future Trends.Jie Gui, Tuo Chen, Jing V. R. de Sa, “Learning classification with unlabeled data,” inNeural Inf. Process. Syst., pp. 112–119, 1994 Devlin, Jacob et al. “BERT:Pre-trainingof Deep Bidirectional Transf...
Classification of a class ofA3MDSMDScode and applications in secret-sharing schemes Bandana Pandeyand Prabal Paul Vol. 16, No. 07 Co-normal products and modular products of soft graphs Bobin George, Jinta Jose, and Rajesh K. Thumbakara ...
The resulting robot learns to approach, recognize, and grasp objects on a floor effectively and efficiently. Experimental results show that highly accurate classification procedures can be learned without sacrificing efficiency in the case of both synthetic and real domains....
In this regard, the quality of classifiers of most of the studying models decreases significantly. This article describes various machine learning methods for the classification of previously unknown data and ways to improve the quality of models. The advantages and disadvantages for each of the ...
3.2.2 线性过滤的例子(Examples of linear filtering) 3.2.3 带通和可控滤波器(Band-pass and steerable filters) 3.3 更多邻近算子(More neighborhood operators) 3.3.1 非线性过滤(Non-linear filtering) 3.3.2 双边过滤(Bilateral filtering) 3.3.3 二值图像处理(Binary image processing) ...
8.1 Introduction InChapters 3–7we listed an array of modulation classifiers. While their mechanisms are distinctly different and intriguing, we are more interested in their actual modulation-classification performance. Modulation classification may be applied in many different scenarios; the traits of a...
To conduct opinion mining, researchers have recently applied various methods in the classification of opinions based on textual data. The supervised and unsupervised methods have been used as the classification algorithms. In the basic process of opinion mining, there are two well-known approaches. Th...
This book starts with basic information on cluster analysis, including the classification of data and the corresponding similarity measures, followed by the presentation of over 50 clustering algorithms in groups according to some specific baseline methodologies such as hierarchical, center-based, and ...