How can we ensure the safety and reliability of deep learning-powered autonomous systems?

Principles, techniques, and algorithms in machine learning from the point of view of ... Fundamentals of deep learning, including both theory and applications. Jun 11, 2017 ... Put simply, and without any mathematical symbols, prior means initial beliefs about an event in terms of probability distribution. Aug 3, 2021 ... The hypothesis is tested by predictive modelling based on Machine Learning (ML). We compare conventional ML techniques and the proposed “deep ... Feb 12, 2025 ... ... machine learning by efficiently targeting the most informative samples for model training ... deep learning works well with large amounts of ... Mar 27, 2023 ... Deep learning is a type of ... This approach highlights the importance of considering different data types when developing machine learning ... ... information refraining from the unconcerned variation of methylation states among different samples. ... machine learning, deep learning and the applications of ... Feb 7, 2024 ... A multi-layer perceptron (MLP) is a type of artificial neural network consisting of multiple layers of neurons. Jul 7, 2023 ... predicted tumour types with a support vector machine using information on somatically mutated genes resulting in 49% accuracy in 28 tumour ... been explored in different areas in the machine learning literature ranging domain adaptation and ... A human-centered evaluation of a deep learning system ... epochs for different bin sizes and the model in (Shwartz-Ziv & Tishby, 2017), where X is uniformly distributed over a 212-sized empirical dataset. The curves ...