MPG.eBooks - Search Results - formal languages and automated theory

1

Machine Learning and Data Mining in Pattern Recognition : Second International Workshop, MLDM 2001, Leipzig, Germany, July 25-27, 2001. Proceedings

Published 2001

Springer Berlin Heidelberg

Table of Contents: “... Distribution -- How to Automate Neural Net Based Learning -- Nonlinear Function Learning and Classification...”

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2

Machine Learning and Data Mining in Pattern Recognition : 7th International Conference, MLDM 2011, New York, NY, USA, August 30-September 3, 2011Proceedings

Published 2011

Springer Berlin Heidelberg

Subjects: “...Formal Languages and Automata Theory...”

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3

Machine Learning and Data Mining in Pattern Recognition : 8th International Conference, MLDM 2012, Berlin, Germany, July 13-20, 2012, Proceedings

Published 2012

Springer Berlin Heidelberg

Subjects: “...Formal Languages and Automata Theory...”

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4

Machine Learning and Data Mining in Pattern Recognition : 5th International Conference, MLDM 2007, Leipzig, Germany, July 18-20, 2007, Proceedings

Published 2007

Springer Berlin Heidelberg

Table of Contents: “... for Structured Document Mapping -- Application of Fractal Theory for On-Line and Off-Line Farsi Digit Recognition...”

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5

Machine Learning and Data Mining in Pattern Recognition : 4th International Conference, MLDM 2005, Leipzig, Germany, July 9-11, 2005, Proceedings

Published 2005

Springer Berlin Heidelberg

Table of Contents: “... of Association Rules via Item Response Theory -- Temporal Approach to Association Rule Mining Using T-Tree and P...”

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6

Machine Learning and Data Mining in Pattern Recognition : Third International Conference, MLDM 2003, Leipzig, Germany, July 5-7, 2003, proceedings

Published 2003

Springer Berlin Heidelberg

Subjects: “...Formal Languages and Automata Theory...”

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7

Machine Learning and Data Mining in Pattern Recognition : 6th International Conference, MLDM 2009, Leipzig, Germany, July 23-25, 2009, Proceedings

Published 2009

Springer Berlin Heidelberg

Table of Contents: “... through Automated Planning -- Predictions with Confidence in Applications -- Data Mining in Medicine...”

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