Non-asymptotic bounds for prediction problems and density estimation.
This dissertation investigates the learning scenarios where a high-dimensional parameter has to be estimated from a given sample of fixed size, often smaller than the dimension of the problem. The first part answers some open questions for the binary classification problem in the framework of active...
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Georgia Institute of Technology
2012
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| Online Access: | http://hdl.handle.net/1853/44808 |