Call For Paper Volume:4 Issue:8 Aug'2017 |

Evaluation of Discriminative Least Squares Regression and Extreme Learning Machine for multiclass classification

Publication Date : 28/02/2015



Author(s) :

Shrish Dixit.


Volume/Issue :
Volume 2
,
Issue 2
(02 - 2015)



Abstract :

This paper presents a short survey of multiclass classification techniques and additionally its applications for. After This I make comparison some best multiclass classification methods like Discriminative Least Square Regression for Multiclass classification of multi feature data and Extreme Learning Machine for Regression andMulticlass Classification in which Neural Network is primarily used. The core plan is to review of all multiclass classification method is to find a systematic overview of all methods with their advantages and disadvantages. Lastly we compare two methods for multiclass classification method on various dataset. There are various additional things are added up to Discriminative least square method like concept of ∈ dragging and uses of hadamart product for Regression and classification. With its compact form, this model are often naturally extended for feature selection. On the other hand neural network based ELM provides a unified learning platform with a widespreadtype of feature mappings and can be applied in regression andmulticlass classification applications directly. So, the aim of this paper is to compare these two modified methods for some multiclass datasets.


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Evaluation of Discriminative Least Squares Regression and Extreme Learning Machine for multiclass classification

February 26, 2015