This foundation text is aimed at the less well prepared student at pre-degree level, and provides well-paced, mathematically sound and motivating coverage. The text concentrates on applicable maths, including simple engineering examples across all engineering disciplines, highlighting the relevance of the mathematical techniques presented. Clear explanations of the concepts behind each technique are provided.
This foundation text is aimed at the less well prepared student at pre-degree level, and provides well-paced, mathematically sound and motivating coverage.
This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2009, held in Bled, Slovenia, in September 2009. The 106 papers presented in two volumes, together with 5 invited talks, were carefully reviewed and selected from 422 paper submissions. In addition to the regular papers the volume contains 14 abstracts of papers appearing in full version in the Machine Learning Journal and the Knowledge Discovery and Databases Journal of Springer. The conference intends to provide an international forum for the discussion of the latest high quality research results in all areas related to machine learning and knowledge discovery in databases. The topics addressed are application of machine learning and data mining methods to real-world problems, particularly exploratory research that describes novel learning and mining tasks and applications requiring non-standard techniques.
In the general (non-parameterized) case, or when the prior “decorrelates” the re-
ward in different states, we do not expect active learning to bring a significant
advantage. We are currently conducting further experiments to gain a clearer ...
