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