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IEEE/ACM Transactions on Networking, ISSN 1063-6692, 08/2015, Volume 23, Issue 4, pp. 1257 - 1270
As a fundamental tool for network management and security, traffic classification has attracted increasing attention in recent years. A significant challenge... 
Training | Correlation | Semi-supervised learning | Clustering algorithms | Ports (Computers) | zero-day applications | Robustness | IP networks | traffic classification | Payloads | COMPUTER SCIENCE, HARDWARE & ARCHITECTURE | COMPUTER SCIENCE, THEORY & METHODS | TELECOMMUNICATIONS | IDENTIFICATION | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
Journal Article
IEEE Transactions on Image Processing, ISSN 1057-7149, 12/2017, Volume 26, Issue 12, pp. 5718 - 5729
In many practical applications, there are a great number of unlabeled samples available, while labeling them is a costly and tedious process. Therefore, how to... 
Training | Additives | Multiview data | Supervised learning | Optimization methods | Semisupervised learning | Feature extraction | Data mining | semi-supervised classification | weight learning | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Usage | Artificial intelligence | Mathematical optimization | Statistical sampling
Journal Article
Journal of the Royal Statistical Society. Series B (Statistical Methodology), ISSN 1369-7412, 11/2011, Volume 73, Issue 5, pp. 753 - 772
Journal Article
ISPRS Journal of Photogrammetry and Remote Sensing, ISSN 0924-2716, 08/2017, Volume 130, pp. 277 - 293
Journal Article
ACM Computing Surveys (CSUR), ISSN 0360-0300, 06/2017, Volume 50, Issue 2, pp. 1 - 36
Ensemble-based methods are among the most widely used techniques for data stream classification. Their popularity is attributable to their good performance in... 
Ensemble learning | data stream classification | supervised learning | VOTE | EVOLVING DATA | ALGORITHM | SYSTEMS | DIVERSITY | COMPUTER SCIENCE, THEORY & METHODS | CONCEPT DRIFT | CLASSIFIERS | ACCURACY | Electronic data processing | Algorithms | Research | Methods | Machine learning | Classification | Artificial Intelligence | Computer Science
Journal Article
IEEE Transactions on Neural Networks and Learning Systems, ISSN 2162-237X, 11/2013, Volume 24, Issue 11, pp. 1763 - 1772
Journal Article
Computational Statistics and Data Analysis, ISSN 0167-9473, 07/2018, Volume 123, pp. 1 - 12
Two procedures for supervised classification are proposed. These are based on data depth and focus on the centre of each class. The classifiers add either a... 
Bayes classifier | Nonparametric | Rank | Supervised learning | Data depth | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | MULTIVARIATE | STATISTICS & PROBABILITY | HALF-SPACE DEPTH | CLASSIFIERS
Journal Article
International Journal of Imaging Systems and Technology, ISSN 0899-9457, 06/2009, Volume 19, Issue 2, pp. 120 - 131
Journal Article