Machine Learning - Modeling Data Locally and Globally presents a novel and unified theory that tries to seamlessly integrate ...
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Presents the key concepts of Machine Learning which includes Python concepts and Interpreter, Foundation of Machine Learning, ...
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This book constitutes the refereed post-proceedings of the First PASCAL Machine Learning Challenges Workshop, MLCW 2005. ...
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Provides students with the fundamental knowledge and practical tools needed to conduct research and build data-driven products. ...
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Providing a unique approach to machine learning, this text contains fresh and intuitive, yet rigorous, descriptions of all ...
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Showcase novel use-cases and applications, present empirical research results from user-centered qualitative and quantitative ...
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Introduces and explores a variety of schemes designed to empower, enhance, and represent multi-institutional and multi-disciplinary ...
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This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ...
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This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ...
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Presents recent advancements in research, a review of new methods and techniques, and applications in decision support systems ...
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Introduces engineers and engineering students to the applications of artificial intelligence (AI), machine learning (ML), ...
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Describes traditional as well as advanced machine learning algorithms Enables students to learn which algorithm is most appropriate ...
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This book proceedings presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It ...
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This book presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. Cyber Physical ...
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Challenges in complexity and variability of multimedia data have led to revolutions in machine learning techniques. Multimedia ...
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The papers are organized in topical sections on multimodal processing, HCI and applications, discourse and dialogue, emotion, ...
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This book contains a selection of refereed papers presented at the 3rd Workshop on Machine Learning for Multimodal Interaction ...
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This book contains a selection of revised papers from the 4th Workshop on Machine Learning for Multimodal Interaction (MLMI ...
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Fundamental Approximation Methods. Machine Learning -- Deep Neural Nets -- Chebyshev Tensors -- The toolkit - plugging in ...
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The goal of this book is to address the use of several important machine learning techniques into computer vision applications. ...
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