This book discusses one of the major applications of artificial intelligence: the use of machine learning to extract useful information from multimodal... Læs mere
This book presents recent improvements in peridynamic modeling of structures.
The third part presents various work based on the probability principle, including dual supervised learning and dual inference based on the joint-probability principle and dual semi-supervised learning based on the marginal-probability principle.
This book includes the original, peer-reviewed research articles from the 3rd International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA 2021), held in August 21 – 22, 2021, at Goa, India.
As technology continues to advance, the Internet is evolving into what is often referred to as Web 3.0. Finally, it explores Web 3.0 through comparative analysis,... Læs mere
Boosting SPDN Planning: Addressing optimal planning challenges in SPDN, this part introduces advanced modelling and algorithm solvingtechniques, tailored to mitigate SPDN's inherent uncertainty. 3.
In the last decades, machine learning techniques – especially techniques of deep learning – led to numerous successes in many application areas, including economics.
How Geometric Algebra can naturally serve for constructing solutions for pattern recognition, machine learning, data compression, games, robotics, quantum computing, data encoding, to cite a few.