{"title":"Michael M Richter","description":null,"products":[{"product_id":"signal-processing-and-machine-learning-with-applications-book-michael-m-richter-9783319453712","title":"Signal Processing and Machine Learning with Applications","description":"Signal Processing and Machine Learning with Applications presents methods that are used to perform various Machine Learning and Artificial Intelligence tasks in conjunction with their applications.","brand":"WoB","offers":[{"title":"GB \/ NEW \/ GARDNERS","offer_id":49742367883537,"sku":"NGR9783319453712","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"GB \/ NEW \/ INGRAM","offer_id":52453436588305,"sku":"NLS9783319453712","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"US \/ NEW \/ INGRAM","offer_id":53110369157393,"sku":"NIN9783319453712","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/3319453718.jpg?v=1751189560"},{"product_id":"case-based-reasoning-book-michael-m-richter-9783642401664","title":"Case-Based Reasoning","description":"While it is relatively easy to record billions of experiences in a database, the wisdom of a system is not measured by the number of its experiences but rather by its ability to make use of them. Case-based rea­soning (CBR) can be viewed as experience mining, with analogical reasoning applied to problem–solution pairs. As cases are typically not identical, simple storage and recall of experiences is not sufficient, we must define and analyze similarity and adaptation. The fundamentals of the approach are now well-established, and there are many successful commercial applications in diverse fields, attracting interest from researchers across various disciplines.     This textbook presents case-based reasoning in a systematic approach with two goals: to present rigorous and formally valid structures for precise reasoning, and to demonstrate the range of techniques, methods, and tools available for many applications. In the chapters in Part I the authors present the basic elements of CBR without assuming prior reader knowledge; Part II explains the core methods, in particu­lar case representations, similarity topics, retrieval, adaptation, evaluation, revisions, learning, develop­ment, and maintenance; Part III offers advanced views of these topics, additionally covering uncertainty and probabilities; and Part IV shows the range of knowledge sources, with chapters on textual CBR, im­ages, sensor data and speech, conversational CBR, and knowledge management. The book concludes with appendices that offer short descriptions of the basic formal definitions and methods, and comparisons be­tween CBR and other techniques.      The authors draw on years of teaching and training experience in academic and business environments, and they employ chapter summaries, background notes, and exercises throughout the book. It's suitable for advanced undergraduate and graduate students of computer science, management, and related disciplines, and it's also a practical introduction and guide for industrial researchers and practitioners engaged with knowledge engineering systems.","brand":"WoB","offers":[{"title":"- \/ - \/ -","offer_id":51061117485329,"sku":"","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"US \/ NEW \/ INGRAM","offer_id":51061120368913,"sku":"NIN9783642401664","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"GB \/ NEW \/ INGRAM","offer_id":52674963079441,"sku":"NLS9783642401664","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/364240166X.jpg?v=1750807139"},{"product_id":"case-based-reasoning-book-michael-m-richter-9783662523773","title":"Case-Based Reasoning","description":"While it is relatively easy to record billions of experiences in a database, the wisdom of a system is not measured by the number of its experiences but rather by its ability to make use of them. Case-based rea­soning (CBR) can be viewed as experience mining, with analogical reasoning applied to problem–solution pairs. As cases are typically not identical, simple storage and recall of experiences is not sufficient, we must define and analyze similarity and adaptation. The fundamentals of the approach are now well-established, and there are many successful commercial applications in diverse fields, attracting interest from researchers across various disciplines.     This textbook presents case-based reasoning in a systematic approach with two goals: to present rigorous and formally valid structures for precise reasoning, and to demonstrate the range of techniques, methods, and tools available for many applications. In the chapters in Part I the authors present the basic elements of CBR without assuming prior reader knowledge; Part II explains the core methods, in particu­lar case representations, similarity topics, retrieval, adaptation, evaluation, revisions, learning, develop­ment, and maintenance; Part III offers advanced views of these topics, additionally covering uncertainty and probabilities; and Part IV shows the range of knowledge sources, with chapters on textual CBR, im­ages, sensor data and speech, conversational CBR, and knowledge management. The book concludes with appendices that offer short descriptions of the basic formal definitions and methods, and comparisons be­tween CBR and other techniques.      The authors draw on years of teaching and training experience in academic and business environments, and they employ chapter summaries, background notes, and exercises throughout the book. It's suitable for advanced undergraduate and graduate students of computer science, management, and related disciplines, and it's also a practical introduction and guide for industrial researchers and practitioners engaged with knowledge engineering systems.","brand":"WoB","offers":[{"title":"- \/ - \/ -","offer_id":51065386795281,"sku":"","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"US \/ NEW \/ INGRAM","offer_id":51065388728593,"sku":"NIN9783662523773","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"GB \/ NEW \/ INGRAM","offer_id":52634058588433,"sku":"NLS9783662523773","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/3662523779.jpg?v=1751252860"},{"product_id":"algorithmic-learning-theory-book-michael-m-richter-9783540650133","title":"Algorithmic Learning Theory","description":"A collection of papers from the 9th International Conference on Algorithmic Learning Theory. They are organized in sections on inductive logic programming and data mining, inductive inference, learning via queries, prediction algorithms, inductive logic programming and learning formal languages.","brand":"WoB","offers":[{"title":"GB \/ NEW \/ INGRAM","offer_id":52146172789009,"sku":"NLS9783540650133","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9783540650133.jpg?v=1757596803"},{"product_id":"ideale-punkte-monaden-und-nichtstandard-methoden-book-michael-m-richter-9783528030728","title":"Ideale Punkte, Monaden und Nichtstandard-Methoden","description":"Als eigenstandige Disziplin gibt es die Nichtstandard-Analysis etwa seit dem Jahre 1960. Inzwischen hat sie eine sturmische Entwicklung genommen, die sich keineswegs auf die Analysis be- schrankte. Viele bekannte Namen sind mit ihr verbunden, doch erscheint es gerecht, den von Ab aham ob n on besonders her- vorzuheben. Er scheint nicht nur als erster die Moglichkeiten der mathematischen Logik erkannt zu haben, }1odelle der Analysis mit Infinitesimalien zu konstruieren, sondern er hat auch den weiteren Verlauf der Entwicklung in ganz ungewohnlicher Weise beeinfluf5t. Dieses Buch solI den Mathematiker (und nieht primar den Logi- ker) in die Welt der Nichtstandard-Methoden einfuhren. Dabei werden zwei Aspekte unterschieden: Zum einen mochte man wis- sen, wie diese Hethoden arbeiten und zum zweiten mochte man wissen, waJtum man so vorgehen darf. Das wie wird erst ein- mal durch die Angabe eines Axiomensystems beschrieben, des sen dUrre Einfachheit im weiteren Verlaufe durch Beispiele und An- wendungen mit Leben erfUllt wird. Das warum ist eine Frage der mathematischen Logik; sie wird im letzten Kapitel (IX) diskutiert und beantwortet. Ob und wann man sich hiermit be- schaftigt, ist weitgehend Geschmackssache; urn Nichtstandard- Analysis praktisch zu betreiben, ist die Kenntnis der modell- theoretischen Methoden jedenfalls keine 8edingung (wie man auch nichts von der Konstruktion der reellen Zahlen wissen mue, urn Analysis zu treiben). An Axiomensystemen werden zwei verschiedene vorgestellt: Keis- ler's Axiome fUr die elementare Analysis (Kar. II) und Nelson's Axiome fUr die gesamte Hengenlehre (Kap. IV).","brand":"WoB","offers":[{"title":"GB \/ NEW \/ INGRAM","offer_id":52662340780305,"sku":"NLS9783528030728","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9783528030728.jpg?v=1762269278"}],"url":"https:\/\/www.worldofbooks.com\/collections\/author-books-by-michael-m-richter.oembed","provider":"World of Books ","version":"1.0","type":"link"}