Authors
John Shawe-Taylor,
Martin Anthony,
Publication date
1994
Publisher
Oxford University Press, USA
Total citations
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Description
The study of machine learning within the mathematical framework of complexity theory has been a relatively recent development. Without the complexity component, machine learning has been hampered by the problems of scaling successful simple learning techniques to large scale applications. Interest in the application of machine learning to a wide variety of problems from control to financial market predictions has fired a corresponding upsurge in mathematical research. Including the papers presented at the first European Conference on Computational Learning Theory, as well as a number of invited contributions, this book gives an excellent overview of current work, ranging from results inspired by neural network research to those resulting from more classicalartificial intelligence approaches.