Abstract: The aim of the research reported in the paper is to obtain an alternative approach in using Support Vector Machine (SVM) in case of non-.

Mar 1, 2011 · The aim of the research reported in the paper is to obtain an alternative approach in using Support Vector Machine (SVM) in case of nonlinearly ...

Title. A New Linear Classifier Based on Combining Supervised and Unsupervised Techniques. Authors. State, Luminiţa; Paraschiv-Munteanu, Iuliana. Abstract ...

Aug 19, 2024 · In this paper we identify novel features extracted from emergent and well-established financial markets using linear models and Gaussian Mixture ...

Luminita State, Iuliana Paraschiv-Munteanu: A New Linear Classifier Based on Combining Supervised and Unsupervised Techniques. Int. J. Comput. Commun.

Jul 25, 2022 · This paper offers a supervised classification strategy that combines functional data analysis with unsupervised and supervised classification methods.

Aug 16, 2014 · You can definitely try to first cluster your data, and then try to see if the cluster information helps your classification task.

We propose an algorithm that combines su- pervised and unsupervised methods to ensem- ble multiple systems for two popular Knowl- edge Base Population (KBP) ...

Feb 28, 2019 · To perform our approach, we used a real dataset extracted from an e-learning system's log file, and in order to evaluate the performance of the ...

In this thesis we revisit the challenging problem of forecasting currency ex- change rate. We combine machine learning methods such as agglomerative.