Classification and semi-supervised learning;.- Clustering and kernel.-Application to recognition.- Sampling and big data.- Application to detection.- Decision tree learning; learning and adaptation.- Similarity and decision making.- Learning with uncertainty.- Improved learning algorithms and applications.
"synopsis" may belong to another edition of this title.