: Boosting is a general method for improving the accuracy of any given learning algorithm. In this paper we employ combination of Adaboost with Support Vector Machine (SVM) as comp...
In this paper we propose a meta-evolutionary approach to improve on the performance of individual classifiers. In the proposed system, individual classifiers evolve, competing to ...
A novel neural network technique for nonnegative independent component analysis is proposed in this letter. Compared with other algorithms, this method can work efficiently even w...
We present a method for explaining predictions for individual instances. The presented approach is general and can be used with all classification models that output probabilities...
Recent security incidents and analysis have demonstrated that manual response to such attacks is no longer feasible. Intrusion Detection systems offer techniques for modelling and...