How 3 Turing Awardees Republished Key Methods and Ideas Whose Creators They Failed to Credit
Whose Creators They Failed to Credit
Source: people.idsia.ch
Evolutionary Computation News Today : Breaking News, Live Updates & Top Stories | Vimarsana
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LeCun's 2022 paper on autonomous machine intelligence rehashes but does not cite essential work of 1990-2015
1990: gradient descent learns subgoals. 1991: multiple time scales and levels of abstraction. 1997: world models learn predictable abstract representations...
Source: people.idsia.ch
"Evolutionary Machine Learning: A Survey" by Akbar Telikani, Amirhessam Tahmassebi et al.
Evolutionary Computation (EC) approaches are inspired by nature and solve optimization problems in a stochastic manner. They can offer a reliable and effective approach to address complex problems in real-world applications. EC algorithms have recently been used to improve the performance of Machine Learning (ML) models and the quality of their results. Evolutionary approaches can be used in all three parts of ML: preprocessing (e.g., feature selection and resampling), learning (e.g., parameter setting, membership functions, and neural network topology), and postprocessing (e.g., rule optimiza...
Source: uow.edu.au
Modelling and Simulation of Power Electronic Converter Dominated Power Systems in PowerFactory | Francisco Gonzalez-Longatt
This book provides an overview of power electronic converters for numerical simulations based on DIgSILENT PowerFactory. It covers the basic working principles, key assumptions and implementation steps of models of different types of these power systems.
Source: springer.com