Many scientific problems entail labeling data items with one of a given, finite set of classes based on features of the data items. For example, oncologists classify tumors as different known cancer ...

Abstract: In the past decades, the ensemble systems have been shown as an efficient method to increase the accuracy and stability of classification algorithms. However, how to get a valid combination ...

Abstract: Software-defined networks (SDNs) offer robust network architectures for current and future Internet of Things (IoT) applications. At the same time, SDNs constitute an attractive target for ...

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STK2100 gives an introduction to different methods for supervised learning (regression and classification). The course contains both model and algorithm based approaches. The main focus is supervised ...

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...

Cybercriminals and cybersecurity are a cat-and-mouse pair. Only that at different times they keep swapping their roles. This ...

Pediatric hospital medicine is rapidly advancing with new research focusing on clinical management, quality improvement, health equity, and technology. This summary highlights the top articles from ...

Researchers developed a washable textile-based IDC strain sensor that tracked yoga-inspired movements with 94.4% record-level ...

Department of Computational Science, National University of Singapore, Blk SOC1, Level 7, 3 Science Drive 2, Singapore 117543, Singapore-MIT Alliance, E-04-10, 4 Engineering Drive 3, Singapore, 117576 ...

It feels like there’s no escaping AI right now, whether you’re trying to type a sentence without being interrupted by a digital “assistant” or struggling to find a new refrigerator that doesn’t ...