Abstract--We study how to effectively integrate reinforcement learning (RL) and programming languages via adaptation-based programming, where programs can include non-deterministic...
With the increase of the training set’s size, the efficiency of support vector machine (SVM) classifier will be confined. To solve such a problem, a novel preextracting method f...
Deqiang Han, Chongzhao Han, Yi Yang, Yu Liu, Wenta...
The experience described in this paper is being developed in the framework of the PALETTE1 project by two teams of researchers involved in collecting information from some Communi...
Amaury Daele, Martin Erpicum, Liliane Esnault, Fab...
: 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...
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...