Statistical machine learning (ML) has triggered a renaissance of artificial intelligence (AI). While the most successful ML models, including Deep Neural Networks (DNN), have developed better predictivity, they have become increasingly complex, at the expense of human interpretability (correlation vs. causality). The field of explainable AI (xAI) has emerged with the goal of creating tools and …
This open access book provides a comprehensive treatment of recent developments in kernel-based identification that are of interest to anyone engaged in learning dynamic systems from data. The reader is led step by step into understanding of a novel paradigm that leverages the power of machine learning without losing sight of the system-theoretical principles of black-box identification. The au…
This open access book critiques real world learning across both the curriculum and extracurricular activities. Drawing on disciplines as diverse as business, health, fashion, sociology and geography, the editors and authors employ a cross-disciplinary approach to examine how this concept is being applied in higher education. Divided into three parts, the authors and contributors analyse broader…
This book presents the multiple facets of English as a Medium of Instruction (EMI) in higher education across various academic disciplines, an area that is expected to grow constantly in response to the competitive global higher education market. The studies presented were conducted in various EMI classrooms, with data collected from observing and documenting the teaching activities, and from i…
How philosophers and theorists can find new models for the creation, publication, and dissemination of knowledge, challenging the received ideas of originality, authorship, and the book.OCLC-licensed vendor bibliographic record.
Machine learning - programming computers to learn from data - has spread across scientific disciplines, media, entertainment, and government. Medical research, autonomous vehicles, credit transaction processing, computer gaming, recommendation systems, finance, surveillance, and robotics use machine learning. Machine learning devices (sometimes understood as scientific models, sometimes as oper…
In diesem Open-Access-Buch gibt eine Evaluationsstudie Auskunft, wie teilnehmende Lehrkräfte Fortbildungen erleben, die auf die KulturSchul-Entwicklung zielen. Welche Perspektiven bauen diese auf? Und welche internen Unterstützungsmaßnahmen trifft die Schule, damit sich die Lernkultur ändern kann? Die Fortbildungsreihen im Landesprogramm «KulturSchule Hessen» legen die Grundlage dafür…
A remarkably rich theory has evolved around boosting, with connections to a range of topics including statistics, game theory, convex optimization, and information geometry. Boosting algorithms have also enjoyed practical success in such fields as biology, vision, and speech processing. At various times in its history, boosting has been perceived as mysterious, controversial, even paradoxical. …
Bibliometrics has moved well beyond the mere tracking of bibliographic citations. The web enables new ways to measure scholarly productivity and impact, making available tools and data that can reveal patterns of intellectual activity and impact that were previously invisible: mentions, acknowledgments, endorsements, downloads, recommendations, blog posts, tweets. This book describes recent the…