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Chasin' the Sound

In Chasin' the Sound: Learning Jazz Improvisation through Historical Models , authors Brian Levy and Keith Waters use solos by famous jazz musicians to outline a melodic and rhythmic vocabulary of jazz im…

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Model-Based Reasoning, Abductive Cognition, Creativity

This book discusses how scientific and other types of cognition make use of models, abduction, and explanatory reasoning in order to produce important, innovative, and possibly creative changes in theorie…

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Marco Forlingieri, Tim Weilkiens, Hugo Guillermo Chalé-Gongora
Model-Based Product Line Engineering (Mbple)

Clear and concise guide to MBPLE, with industrial case studiesWritten in a to-the-point style, Model-Based Product Line Engineering (MBPLE) is the only theoretical and practical foundational book on MBPLE…

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An Introduction to Model-Based Cognitive Neuroscience

The main goal of this edited collection is to promote the integration of cognitive modeling and cognitive neuroscience. Experts in the field provide tutorial-style chapters that explain particular techniq…

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Peter Feiler, Peter H. Feiler, David P. Gluch
Model-Based Engineering with AADL: An Introduction to the SAE Architecture Analysis & Design Language

Conventional build-then-test practices are making today's embedded, software-reliant systems unaffordable to build. In response, more than thirty leading industrial organizations have joined SAE (formerly…

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Generative Machine Learning Models in Medical Image Computing

Generative Machine Learning Models in Medical Image Computing" provides a comprehensive exploration of generative modeling techniques tailored to the unique demands of medical imaging. This book pres…

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Machine Learning Models and Architectures for Biomedical Signal Processing

Machine Learning Models and Architectures for Biomedical Signal Processing presents the fundamental concepts of machine learning techniques for bioinformatics in an interactive way. The book investigates …

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Federated Learning in the Age of Foundation Models - FL 2024 International Workshops

This LNAI volume constitutes the post proceedings of International Federated Learning Workshops such as follows:FL@FM-WWW 2024, FL@FM-ICME 2024, FL@FM-IJCAI 2024 and FL@FM-NeurIPS 2024. This LNAI volume f…

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Francisco Chinesta, Angelo Pasquale, Dominique Baillargeat, Elías Cueto
A Gentle Introduction to Data, Learning, and Model Order Reduction

Abstract.- Extended summary.- Part 1.Around Data.- Part 2.Around Learning.- Part 3. Around Reduction.- Part 4. Around Data Assimilation & Twinning.

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Using Shared Mental Models and Organisational Learning to Support Safety and Security Through Cyberspace: A Computational Analysis Approach

Ensuring patient safety and security through cyberspace requires that all care professionals operate as a team and community . In order to be successful, it is of paramount importance that all members of …

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Robert Crowe, Hannes Hapke, Emily Caveness, Di Zhu
Machine Learning Production Systems

"Using machine learning for products, services, and critical business processes is quite different from using ML in an academic or research setting--especially for recent ML graduates and those movin…

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David C. Gibson, Dirk Ifenthaler
Computational Learning Theories

This book shows how artificial intelligence grounded in learning theories can promote individual learning, team productivity and multidisciplinary knowledge-building. It advances the learning sciences by …

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Proceedings of the 15th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2023)

This book presents 55 selected papers focused on Deep Learning and Large Language Models from the 14th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2023) and 14th World Congr…

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João Manuel R. S. Tavares, Diogo R. M. Bastos
Advances in Gait-Based Identification

This book provides a systematic review of gait-based person identification, categorizing studies into deep-learning and non-deep-learning approaches while analyzing key datasets and performance metrics. I…

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Hybrid Intelligent Systems

This book presents 48 selected papers focused on Large Language Models and Machine Learning from the 23rd International Conference on Hybrid Intelligent Systems, which was held in five different cities na…

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Bio-Inspired Computing

This book presents 53 selected papers focused on Deep Learning and Large Language Models from the 14th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA 2023) and 1…

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