Gaussian processes ... at researchers and students in machine learning and applied statistics.The book deals with the supervised-learning problem for both regression and classification, and includes ...

The new algorithm provides a rigorous statistical framework to ... to efficiently train neural stochastic differential equations, which is a type of machine learning model that has shown promising ...

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Systems controlled by next-generation ...

We have named this improved ELM algorithm as Gaussian ELM (GELM) algorithm. We also compared GELM with the traditional ELM and other machine-learning algorithms, and the classification accuracy of the ...

🤖 Anomaly Detection using Gaussian distribution - example: detect overloaded server. The neural network itself isn't an algorithm, but rather a framework for many different machine learning ...