Displaying 168 resources
Artificial Neural Networks. Perceptron
This lecture will cover the basic concepts of Artificial Neural Networks (ANNs): Biological neural models, Perceptron, Activation functions, Loss types, Steepest Gradient Descent, On-line Perceptron training, Batch Perceptron training.
e-Symposium 2023: Tweet sentiment analysis
Sentiment analysis in texts, also known as opinion mining, is a significant Natural Language Processing (NLP) task, with many applications in automated social media monitoring, customer feedback processing, e-mail scanning, etc.
e-Symposium 2023: Media portrayals of COVID-19 in British newspapers: A comparative sentiment analysis
This study addresses the lack of a systematic analysis of British COVID-19 discourse during the pandemic, which has sparked intense public debate globally.
e-Symposium 2023: AI and Computational Politics
Computational Politics refers to the application of Information Technologies (IT), including Data Analytics, Artificial Intelligence (AI), and Systems Theory (Cybernetics) in the realm of politics and Political Science.
Real-like MAX-SAT Instances and the Landscape Structure Across the Phase Transition
In contrast with random uniform instances, industrial SAT instances of large size are solvable today by state-of-the-art algorithms.
A comprehensive survey of geometric deep learning
The survey provides a comprehensive overview of deep learning methods for geometric data (point clouds, voxels, network graphs etc.). The relevant knowledge and theoretical background of geometric deep learning is presented first.