PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

A Modified SVM Classification Algorithm for Data of Variable Quality
Bruno Apolloni, Dario Malchiodi and Luca Natali
In: 11th International Conference on Knowledge-Based Intelligent Information and Engineering Systems - XVII Italian Workshop on Neural Networks, 12-14 Sep 2007, Vietri sul Mare (SA), Italy.


We propose a modified SVM algorithm for the classification of data augmented with explicit quality quantification for each example in the training set. As the extension to nonlinear decision functions through the use of kernels brings to a non-convex optimization problem, we develop an approximate solution. Finally, the proposed approach is applied to a set of benchmarks and contrasted with analogous methodologies in the literature.

EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Learning/Statistics & Optimisation
Theory & Algorithms
ID Code:3519
Deposited By:Dario Malchiodi
Deposited On:11 February 2008