{"title":"Sebastian Thrun","description":null,"products":[{"product_id":"probabilistic-robotics-book-sebastian-thrun-9780262201629","title":"Probabilistic Robotics","description":"\u003cb\u003eAn introduction to the techniques and algorithms of the newest field in robotics.\u003c\/b\u003e \u003cp\u003eProbabilistic robotics is a new and growing area in robotics, concerned with perception and control in the face of uncertainty. Building on the field of mathematical statistics, probabilistic robotics endows robots with a new level of robustness in real-world situations. This book introduces the reader to a wealth of techniques and algorithms in the field. All algorithms are based on a single overarching mathematical foundation. Each chapter provides example implementations in pseudo code, detailed mathematical derivations, discussions from a practitioner's perspective, and extensive lists of exercises and class projects. The book's Web site, www.probabilistic-robotics.org, has additional material. The book is relevant for anyone involved in robotic software development and scientific research. 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As machine learning is maturing, it  has begun to make the successful transition from academic research to  various practical applications. Generic techniques such as decision  trees and artificial neural networks, for example, are now being used  in various commercial and industrial applications.    Learning to Learn is an exciting new research direction within machine  learning. Similar to traditional machine-learning algorithms, the  methods described in Learning to Learn induce general functions  from experience. However, the book investigates algorithms that can  change the way they generalize, i.e., practice the task of learning  itself, and improve on it.    To illustrate the utility of learning to learn, it is worthwhile  comparing machine learning with human learning. Humans encounter a  continual stream of learning tasks. They do not just learn concepts or  motor skills, they also learn bias, i.e., they learn how to  generalize. 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The Springer Tracts in Advanced Robotics (STAR) is devoted to bringing to the research community the latest advances in the robotics field on the basis of their significance and quality. Through a wide and timely dis- semination of critical research developments in robotics, our objective with this series is to promote more exchanges and collaborations among the re- searchers in the community and contribute to further advancements in this rapidly growing field. As one of robotics pioneering symposia, the International Symposium on Robotics Research (ISR) has established over the past two decades some of the fields most fundamental and lasting contributions. Since the launching of STAR, ISR and several other thematic symposia in robotics find an important platform for closer links and extended reach within the robotics community. This twelfth edition of Robotics Research, edited by Sebastian Thrun, Rodney Brooks, and Hugh Durrant-Whyte, offers in its 14-part volume a collection of a broad range of topics in robotics. The content of these contributions provides a wide coverage of the current state of robotics research: the advances and challenges in its theoretical foundation and technology basis, and the developments in its traditional and novel areas of apphcations.","brand":"WoB","offers":[{"title":"- \/ - \/ INTERNAL","offer_id":52332609241361,"sku":null,"price":0.0,"currency_code":"GBP","in_stock":true},{"title":"GB \/ NEW \/ INGRAM","offer_id":52332609995025,"sku":"NLS9783642080050","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9783642080050.jpg?v=1758152186"},{"product_id":"explanation-based-neural-network-learning-book-sebastian-thrun-9780792397168","title":"Explanation-Based Neural Network Learning","description":"Lifelong learning addresses situations in which a learner faces  a series of different learning tasks providing the opportunity for  synergy among them.","brand":"WoB","offers":[{"title":"- \/ - \/ INTERNAL","offer_id":52432470475025,"sku":null,"price":0.0,"currency_code":"GBP","in_stock":true},{"title":"GB \/ NEW \/ INGRAM","offer_id":52432471163153,"sku":"NLS9780792397168","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9780792397168.jpg?v=1759175067"},{"product_id":"explanation-based-neural-network-learning-book-sebastian-thrun-9781461285977","title":"Explanation-Based Neural Network Learning","description":"Lifelong learning addresses situations in which a learner faces  a series of different learning tasks providing the opportunity for  synergy among them.","brand":"WoB","offers":[{"title":"GB \/ NEW \/ INGRAM","offer_id":52618616570129,"sku":"NLS9781461285977","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9781461285977.jpg?v=1761533626"},{"product_id":"learning-to-learn-book-sebastian-thrun-9781461375272","title":"Learning to Learn","description":"Over the past three decades or so, research on machine learning  and data mining has led to a wide variety of algorithms that learn  general functions from experience. 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