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Metalearning
Metalearning is the study of principled methods that exploit metaknowledge to obtain efficient models and solutions by adapting machine learning and data mining processes. While the variety of machine learning and data mining techniques now available can, in principle, provide good model solutions, a methodology is still needed to guide the search for the most appropriate model in an efficient way. Metalearning provides one such methodology that allows systems to become more effective through experience. This book discusses several approaches to obtaining knowledge concerning the performance of machine learning and data mining algorithms. It shows how this knowledge can be reused to select, combine, compose and adapt both algorithms and models to yield faster, more effective solutions to data mining problems. It can thus help developers improve their algorithms and also develop learning systems that can improve themselves. The book will be of interest to researchers and graduate students in the areas of machine learning, data mining and artificial intelligence.
Artificial Intelligence and Machine Learning
This book contains a selection of the best papers of the 32nd Benelux Conference on Artificial Intelligence, BNAIC/Benelearn 2020, held in Leiden, The Netherlands, in November 2020. Due to the COVID-19 pandemic the conference was held online. The 12 papers presented in this volume were carefully reviewed and selected from 41 regular submissions. They address various aspects of artificial intelligence such as natural language processing, agent technology, game theory, problem solving, machine learning, human-agent interaction, AI and education, and data analysis. The chapter 11 is published open access under a CC BY license (Creative Commons Attribution 4.0 International License). .
Dutch Paintings in the Metropolitan Museum of Art
Presents a catalog that surveys the Dutch paintings found in the Metropolitan Museum of Art.
Artificial Intelligence and Machine Learning
This book contains a selection of the best papers of the 34th Benelux Conference on Artificial Intelligence, BNAIC/ BENELEARN 2022, held in Mechelen, Belgium, in November 2022. The 11 papers presented in this volume were carefully reviewed and selected from 134 regular submissions. They address various aspects of artificial intelligence such as natural language processing, agent technology, game theory, problem solving, machine learning, human-agent interaction, AI and education, and data analysis.
Ut pictura amor
Ut pictura amor: The Reflexive Imagery of Love in Artistic Theory and Practice, 1500-1700 examines the related themes of lovemaking and image-making in the visual arts of Europe, China, Japan, and Persia. The term ‘reflexive’ is here used to refer to images that invite reflection not only on their form, function, and meaning, but also on their genesis and mode of production. Early modern artists often fashioned reflexive images and effigies of this kind, that appraise love by exploring the lineaments of the pictorial or sculptural image, and complementarily, appraise the pictorial or sculptural image by exploring the nature of love. Hence the book’s epigraph—ut pictura amor—‘as is a picture, so is love’.
Dutch Art
An illustrated feast for the eye and intellect Dutch Art explores developments in art, art history, art criticism, and cultural history of the Netherlands from the artists' workshops for the Utrecht Dom in 1475 to the latest movements of the 1990s. it is lavishly illustrated with 147 black-and-white photographs and 16 pages in full color. More than 100 internationally recognized scholars, museum professionals, artists, and art critics contributed signed essays to this monumental work, including historians, sociologists, and literary historians.
