Approaches ML as the computational implementation of the scientific principle. This principle consists of continuously adapting ...
WeiterlesenDiscusses machine learning and deep learning models for different civil engineering applications. These models work for stochastic ...
WeiterlesenThis book constitutes the refereed post-proceedings of the First PASCAL Machine Learning Challenges Workshop, MLCW 2005. ...
WeiterlesenThis book provides a comprehensive coverage of the most important machine learning techniques used and their application ...
WeiterlesenToday, artificial intelligence deals with large amounts of data and knowledge and finds new information using machine learning ...
WeiterlesenMLDM / ICDM Medaillie Meissner Porcellan, the “White Gold” of King August the Strongest of Saxonia Gottfried Wilhelm ...
WeiterlesenThis book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ...
WeiterlesenThis book constitutes the refereed proceedings of the 5th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain ...
WeiterlesenThis book presents some of the most recent research results in the area of machine learning and robot perception. The chapters ...
WeiterlesenThe book is organized in four parts: The first focuses on technical aspects, basic mathematical notions and elementary machine ...
WeiterlesenIntroduces engineers and engineering students to the applications of artificial intelligence (AI), machine learning (ML), ...
WeiterlesenThis three volume book set constitutes the proceedings of the Third International Conference on Machine Learning for Cyber ...
WeiterlesenThis three volume book set constitutes the proceedings of the Third International Conference on Machine Learning for Cyber ...
WeiterlesenThis three volume book set constitutes the proceedings of the Third International Conference on Machine Learning for Cyber ...
Weiterlesenhis book contains a selection of refereed papers presented at the 1st Wo- shop on Machine Learning for Multimodal Interaction ...
WeiterlesenThis book contains a selection of refereed papers presented at the 3rd Workshop on Machine Learning for Multimodal Interaction ...
WeiterlesenThis book contains a selection of revised papers from the 4th Workshop on Machine Learning for Multimodal Interaction (MLMI ...
WeiterlesenThe 12 revised full papers and 15 revised poster papers presented together with 5 papers of a special session on user requirements ...
WeiterlesenThe goal of this book is to address the use of several important machine learning techniques into computer vision applications. ...
WeiterlesenThe objective of Document Analysis and Recognition (DAR) is to recognize the text and graphicalcomponents of a document and ...
Weiterlesen