Elements of information theory
Elements of information theory
The nature of statistical learning theory
The nature of statistical learning theory
Gradient-based manipulation of nonparametric entropy estimates
IEEE Transactions on Neural Networks
Advanced search algorithms for information-theoretic learning with kernel-based estimators
IEEE Transactions on Neural Networks
| Hi-index | 0.01 |
This paper presents a robust approach to estimate the probability density function (PDF) from a sample data set. The approach is induced from entropy maximization using Renyi's quadratic entropy, and turns out to be equivalent to the support vector machines (SVM). Therefore, the approach has good properties of the support vector machines as a statistical function estimation method.