The application of machine learning for IoT enables users to obtain deep analytics and develop efficient intelligent IoT applications. This paper is different from the previously published survey papers in terms of focus, scope, and breadth; specifically, we have written this paper to emphasize the ...
Machine Learning (ML) has been enjoying an unprecedented surge in applications that solve problems and enable automation in diverse domains. Primarily, this is due to the explosion in the availability of data, significant improvements in ML techniques, and advancement in computing capabilities. Undoubte...
This section introduces the taxonomy on how machine learning is used for malware analysis in the reviewed papers. We identify three major dimensions along which surveyed works can be conveniently organised. The first one characterises the final objective of the analysis, e.g. malware detection. The...
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Association for Computational Linguistics, Berlin, Germany (2016), pp. 33-43, 10.18653/v1/P16-1004 URL https://aclanthology.org/P16-1004 View in ScopusGoogle Scholar Dos Santos et ...
A simple and effective method by retrieving from training data. In Smaranda Muresan, Preslav Nakov, and Aline Villavicencio, editors, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 3170– 3179, Dublin, Ireland, May 2022. ...
In this section,we discuss papers that focus on sloving the learning task in high-complexity domains or had promising ideas that can be implemented in the future... Taylor在一个非常复杂的现实生活问题中使用TL解决方法表现出良好性能。把价值函数迁移程序与Distributed W-Learning多智能体RL算法相结合,...
In this document, we survey hundreds of survey papers on Natural Language Processing (NLP) and Machine Learning (ML). We categorize these papers into popular topics and do simple counting for some interesting problems. In addition, we show the list of the papers with urls (813 papers). Categ...
In this document, we survey hundreds of survey papers on Natural Language Processing (NLP) and Machine Learning (ML). We categorize these papers into popular topics and do simple counting for some interesting problems. In addition, we show the list of the papers with urls (385 papers). Categ...
Already some review papers for image compression are already reported in the literature. Some focused on traditional image compression algorithms [2,46], a few on the mixture of traditional and current neural network approaches [47], some were centralized on deep learning-based image compression sch...
A Survey on Various Representation Learning of Hypergraph for Unsupervised Feature Selection (Data, Engineering and Applications, 2022) [paper] Hypergraph Learning Conference Papers International Conference on Machine Learning Nonlinear Feature Diffusion on Hypergraphs (ICML, 2022) [paper] ...