(MI).In this paper,we reviewed the recent development in the machine learning algorithm used in the MI-based BCI,which may provide potential solutions for addressing the issue.We classified these algorithms into two categories,namely,and enhancing the representation and expanding the training set....
Survey of Hypergraph Neural Networks and Its Application to Action Recognition (CAAI International Conference on Artificial Intelligence, 2022) [paper] A Survey on Various Representation Learning of Hypergraph for Unsupervised Feature Selection (Data, Engineering and Applications, 2022) [paper] Hypergraph L...
Proceedings of the International Conference on Advanced Information Science and System, AISS ’19, 9781450372916 (2019), 10.1145/3373477.3373486 Google Scholar Agnihotri and Chug, 2020 Agnihotri Mansi, Chug Anuradha Application of machine learning algorithms for code smell prediction using object-oriented...
Malware can cause DDoS attacks and even spy on sensitive areas like peoples’ homes. To help mitigate this threat, this paper employs a number of machine learning algorithms to classify IoT firmware and the best performing models are reported. In a general comparison, the top three algorithms ...
Several intelligent machine learning techniques were designed and used to provide big data predictive analytics solutions. A literature survey of different machine learning techniques is provided in this paper. Also a study on commonly used machine learning algorithms for big data analytics is done and...
its efficiency depends on the choice of initial weights. In particular, BP has been shown to have slower speed of convergence and to fall into local optima. Over the years, global optimization methods have been proposed to replace BP, including Genetic Algorithms (GA), Simulated Annealing (SA)...
Hyperbox based machine learning algorithms: A comprehensive survey. arXiv 2019 paper bib Thanh Tung Khuat, Dymitr Ruta, Bogdan Gabrys Imbalance Problems in Object Detection: A Review. IEEE 2020 paper bib Kemal Oksuz, Baris Can Cam, Sinan Kalkan, Emre Akbas Learning Representations of Graph Data...
("SV5509","A Survey on User Behavior Modeling in Recommender Systems"),("SV5526","Anti-unification and Generalization: A Survey"),("SV5550","""Complexity Results and Exact Algorithms for Fair Division of Indivisible Items:A Survey"""),("SV5554","Bayesian Federated Learning: A Survey"),...
The first research question is as follows: “which is the best AI technique or algorithm for improving IoT security?” for that, this paper performs a comprehensive study on the performance of AI algorithms regarding their accuracy; We studied previous works of AI algorithms, specifically the algo...
Machine Learning for NLP A comprehensive survey of mostly textual document segmentation algorithms since 2008. Pattern Recognition 2017 paper bib Sebastien Eskenazi, Petra Gomez-Krämer, Jean-Marc Ogier A Primer on Neural Network Models for Natural Language Processing. Computer ence 2015 paper bib Yo...