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