Model Selection And Error Estimation In A Nutshell
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Model Selection and Error Estimation in a Nutshell
How can we select the best performing data-driven model? How can we rigorously estimate its generalization error? Statistical learning theory answers these questions by deriving non-asymptotic bounds on the generalization error of a model or, in other words, by upper bounding the true error of the learned model based just on quantities computed on the available data. However, for a long time, Statistical learning theory has been considered only an abstract theoretical framework, useful for inspiring new learning approaches, but with limited applicability to practical problems. The purpose of this book is to give an intelligible overview of the problems of model selection and error estimation, by focusing on the ideas behind the different statistical learning theory approaches and simplifying most of the technical aspects with the purpose of making them more accessible and usable in practice. The book starts by presenting the seminal works of the 80’s and includes the most recent results. It discusses open problems and outlines future directions for research.
Proceedings of the 4th International Conference on Modelling and Optimisation of Ship Energy Systems
Author: Luca Oneto
language: en
Publisher: TU Delft OPEN Publishing
Release Date: 2024-08-22
MOSES 2023 has continually served as an influential platform, fostering innovation and discussions shaping maritime energy systems’ future. Last year’s conference expanded its scope to include topics reflecting the latest technological advances impacting our industry. Key discussions focused on reducing fuel consumption, minimizing environmental impacts, and optimizing lifecycle costs in ship design and operations amidst stringent regulations and fluctuating market conditions. MOSES 2023 provided a vibrant forum for sharing innovative research, practices, and policies, and the proceedings encompass contributions from academics, industry experts, and emerging researchers, spanning diverse topics such as system modelling, optimization, control, and environmental sustainability. Highlights from the conference included a new roundtable on Data and Digitalisation, which brought together leading figures from industry and academia to explore the integration of IoT, AI, and blockchain technologies in maritime operations. This discussion focused on challenges related to data privacy, integration, and cybersecurity, underpinning the strategic importance of digital technologies in enhancing operational efficiency and safety. We invite scholars, professionals, and enthusiasts in ship energy systems to explore these proceedings, encapsulating the insights and discussions from MOSES 2023.
Proceedings of I4SDG Workshop 2025 - IFToMM for Sustainable Development Goals
This book contains the proceedings of the 3rd IFToMM Workshop for Sustainable Development Goals (I4SDG), held in Lamezia Terme, Italy, on June 9–11, 2025. The workshop papers are focused on those aspects of the theory, design, and applications of mechanism and machine science that are fundamental for moving toward sustainable development. The main topics of the workshop are: sustainable energy systems, robotics and mechatronics, biomechanical and medical systems, education, linkages, gears, transmissions and actuators, engines and powertrains, tribology, transportation machinery, service systems for sustainability, humanitarian engineering, and socio-technical systems for sustainable and inclusive development. The contributions, selected through a rigorous international peer-review process, highlight many exciting ideas that will drive new research directions and foster multidisciplinary collaboration between researchers from different backgrounds.