Diversity-Based Boosting Algorithm
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2016, Vol 7, Issue 5
Abstract
Boosting is a well known and efficient technique for constructing a classifier ensemble. An ensemble is built incrementally by altering the distribution of training data set and forcing learners to focus on misclassification errors. In this paper, an improvement to Boosting algorithm called DivBoosting algorithm is proposed and studied. Experiments on several data sets are conducted on both Boosting and DivBoosting. The experimental results show that DivBoosting is a promising method for ensemble pruning. We believe that it has many advantages over traditional boosting method because its mechanism is not solely based on selecting the most accurate base classifiers but also based on selecting the most diverse set of classifiers.
Authors and Affiliations
Jafar Alzubi
Enhanced Mechanism to Detect and Mitigate Economic Denial of Sustainability (EDoS) Attack in Cloud Computing Environments
Cloud computing (CC) is the next revolution in the Information and Communication Technology arena. CC is often provided as a service comparable to utility services such as electricity, water, and telecommunications. Clou...
Image and Video based double watermark extraction spread spectrum watermarking in low variance region
Digital watermarking plays a very important role in copyright protection. It is one of the techniques which are used for safeguarding the origins of the image, audio and video by protecting it against Piracy. This paper...
PEDAGOGY: INSTRUCTIVISM TO SOCIO-CONSTRUCTIVISM THROUGH VIRTUAL REALITY
Learning theories evolved with time, beginning with instructivism, constructivism, to social constructivism. These theories no doubt were applied in education and they had their effects on learners. Technology advanced,...
A Globally Convergent Algorithm of Variational Inequality
The algorithm of variational inequality is the important and valuable question in real life all the time. In this paper, a globally convergent algorithm of variational inequality is proposed. The method ensures tha...
Development of the System to Support Tourists’ Excursion Behavior using Augmented Reality
The purpose of this study is to develop an information system (AR recommended GIS) to support tourists’ excursion behavior by making the accumulating, sharing, and recommending of information concerning urban tourist spo...