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Data complexity in supervised learning

My thesis, Data complexity in supervised learning: A far reaching implication, is finally available online. This thesis takes a close view of data complexity and its role shaping the behaviour of machine learning techniques in supervised learning and explores the generation of synthetic data sets through complexity estimates. The work has been built upon four [...]

Research Post

Call for papers

• 2010 Genetic and Evolutionary Computation Conference #
• 2010 Forum on Philosophy, Engineering & Technology #
• 20th International Conference on Pattern Recognition #