%0 Journal Article %1 s2006machine %A Kotsiantis, S. %A Zaharakis, I. %A Pintelas, P. %D 2006 %J Artificial Intelligence Review %K 2010 classification dm ml seminar survey %N 3 %P 159--190 %T Machine learning: a review of classification and combining techniques %U http://dx.doi.org/10.1007/s10462-007-9052-3 %V 26 %X Abstract  Supervised classification is one of the tasks most frequently carried out by so-called Intelligent Systems. Thus, a large number of techniques have been developed based on Artificial Intelligence (Logic-based techniques, Perceptron-based techniques)and Statistics (Bayesian Networks, Instance-based techniques). The goal of supervised learning is to build a concise modelof the distribution of class labels in terms of predictor features. The resulting classifier is then used to assign classlabels to the testing instances where the values of the predictor features are known, but the value of the class label isunknown. This paper describes various classification algorithms and the recent attempt for improving classification accuracy—ensemblesof classifiers.

@article{s2006machine, abstract = {Abstract  Supervised classification is one of the tasks most frequently carried out by so-called Intelligent Systems. Thus, a large number of techniques have been developed based on Artificial Intelligence (Logic-based techniques, Perceptron-based techniques)and Statistics (Bayesian Networks, Instance-based techniques). The goal of supervised learning is to build a concise modelof the distribution of class labels in terms of predictor features. The resulting classifier is then used to assign classlabels to the testing instances where the values of the predictor features are known, but the value of the class label isunknown. This paper describes various classification algorithms and the recent attempt for improving classification accuracy—ensemblesof classifiers.}, added-at = {2010-01-26T14:08:02.000+0100}, author = {Kotsiantis, S. and Zaharakis, I. and Pintelas, P.}, biburl = {https://www.bibsonomy.org/bibtex/21591d22c046ef66bcbce49dd5dd6bb25/beate}, description = {SpringerLink - Zeitschriftenbeitrag}, interhash = {426ffe6e3164ff9e107ab8cce30f4e4d}, intrahash = {1591d22c046ef66bcbce49dd5dd6bb25}, journal = {Artificial Intelligence Review}, keywords = {2010 classification dm ml seminar survey}, month = {#nov#}, number = 3, pages = {159--190}, timestamp = {2010-01-26T14:08:02.000+0100}, title = {Machine learning: a review of classification and combining techniques}, url = {http://dx.doi.org/10.1007/s10462-007-9052-3}, volume = 26, year = 2006 }