This book aims to give a general overview of the theoretical foundations of learning theory. It is not the
rst to do so

Packet : Learning Theory - An Approximation Theory Viewpoint .rar filelist
References .pdf
1 - The framework of learning .pdf
2 - Basic hypothesis spaces .pdf
3 - Estimating the sample error .pdf
4 - Polynomial decay of the approximation error .pdf
5 - Estimating covering numbers .pdf
6 - Logarithmic decay of the approximation error .pdf
7 - On the bias–variance problem .pdf
8 - Least squares regularization .pdf
9 - Support vector machines for classification 157 .pdf
10 - General regularized classifiers .pdf
Foreword .pdf
Preface.pdf
notes.txt

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