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Inductive Logic Programming
This book constitutes the refereed proceedings of the 13th International Conference on Inductive Logic Programming, ILP 2003, held in Szeged, Hungary in September/October 2003. The 23 revised full papers presented were carefully reviewed and selected from 53 submissions. Among the topics addressed are multirelational data mining, complexity issues, theory revision, clustering, mathematical discovery, relational reinforcement learning, multirelational learning, inductive inference, description logics, grammar systems, and inductive learning.
Body, Brain, Behavior
Body, Brain, Behavior: Three Views and a Conversation describes brain research on the frontiers, with a particular emphasis on the relationship between the brain and its development and evolution, peripheral organs, and other brains in communication. The book expands current views of neuroscience by illustrating the integration of these disciplines. By using a novel method of conversations between 3 scientists of different disciplines, cellular, endocrine, developmental, and social processes are seamlessly woven into topics that relate to contemporary living in health and disease. This book is a critical read for anyone who wants to become familiar with the inner workings of the nervous syst...
Discovery Science
These are the conference proceedings of the 4th International Conference on Discovery Science (DS 2001). Although discovery is naturally ubiquitous in s- ence, and scientific discovery itself has been subject to scientific investigation for centuries, the term Discovery Science is comparably new. It came up in conn- tion with the Japanese Discovery Science project (cf. Arikawa's invited lecture on The Discovery Science Project in Japan in the present volume) some time during the last few years. Setsuo Arikawa is the father in spirit of the Discovery Science conference series. He led the above mentioned project, and he is currently serving as the chairman of the international steering committ...
Markets and Politicians
Arye L. Hillman There has been much economic theorizing directed at providing the politician with guidance in the design of policies that will amend market outcomes in ways that achieve specified efficiency or equity objectives. It has been common practice in economic models to portray the politician who implements the policy recommendations as a mechanistic individual who behaves as would a benevolent dictator to maximize a prespecified conception of social welfare or the utility of a representative consumer. The self-interest and discretion that is attributed to firms and consumers as optimizing agents is absent from the motives of such a politician. Economic policy choice is thereby depol...
Inductive Logic Programming
This book constitutes the proceedings of the 19th International Conference on Inductive Logic Programming, held in Leuven, Belgium, in July 2009.
Inductive Logic Programming
This book constitutes the thoroughly refereed post-proceedings of the 16th International Conference on Inductive Logic Programming, ILP 2006, held in Santiago de Compostela, Spain, in August 2006. The papers address all current topics in inductive logic programming, ranging from theoretical and methodological issues to advanced applications.
Knowledge Discovery in Databases: PKDD 2007
This book constitutes the refereed proceedings of the 11th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2007, held in Warsaw, Poland, co-located with ECML 2007, the 18th European Conference on Machine Learning. The 28 revised full papers and 35 revised short papers present original results on leading-edge subjects of knowledge discovery from conventional and complex data and address all current issues in the area.
Discovery Science
This book constitutes the refereed proceedings of the 11th International Conference on Discovery Science, DS 2008, held in Budapest, Hungary, in October 2008, co-located with the 19th International Conference on Algorithmic Learning Theory, ALT 2008. The 26 revised long papers presented together with 5 invited papers were carefully reviewed and selected from 58 submissions. The papers address all current issues in the area of development and analysis of methods for intelligent data analysis, knowledge discovery and machine learning, as well as their application to scientific knowledge discovery. The papers are organized in topical sections on learning, feature selection, associations, discovery processes, learning and chemistry, clustering, structured data, and text analysis.
