By presenting the latest advances in fuzzy sets and computing with words from around the globe this book disseminates recent innovations in advanced intelligent technologies and systems. From intelligent control and intuitionistic fuzzy quantifiers to various data scie... Lees meer.

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This volume contains papers presented at the joint 16th Annual Conference on Learning Theory COLT and the 7th Annual Workshop on Kernel Machines heldinWashington DC USA duringAugust24-27 2003.COLT whichrecently merged with EuroCOLT has traditionally been a meeting p... Lees meer.

Sure to be influential this book lays the foundations for the use of algebraic geometry in statistical learning theory. Many widely used statistical models and learning machines applied to information science have a parameter space that is singular. mixture models ne... Lees meer.

Computational learning theory is a subject which has been advancing rapidly in the last few years. The authors concentrate on the probably approximately correct model of learning and gradually develop the ideas of efficiency considerations. Finally applications of the... Lees meer.

This is a self contained volume in which the authors concentrate on the probably approximately correct model . It will therefore form an introduction to the theory of computational learning suitable for a broad spectrum of graduate students from theoretical computer s... Lees meer.

Constitutes the proceedings of the 15th Annual Conference on Computational Learning Theory held in Australia in 2002. The 26 papers cover statistical learning theory online learning inductive inference PAC learning boosting and other learning paradigms. Thisvolu... Lees meer.

This volume presents the proceedings of the Second European Conference on Computational Learning Theory EuroCOLT 95 held in Barcelona Spain in March 1995. The book contains full versions of the 28 papers accepted for presentation at the conference as well as three i... Lees meer.

This is the third in a series of edited volumes exploring the evolving landscape of learning systems research which spans theory and experiment symbols and signals. It continues the exploration of the synthesis of the machine learning subdisciplines begun in volumes I... Lees meer.

This second volume defines possible areas of joint research in artificial intelligence and machine learning. It uses knowledge from the areas of learning research computational learning theory neural network research and symbolic machine learning.... Lees meer.