[PDF] One-Sided Prototype Selection on Class Imbalanced Dissimilarity ...
core.ac.uk › download › pdf
In order to analyze the effect of the class imbalance on the performance of the predic- tion models, we generated different dissimilarity matrices, each one ...
In this paper, we study the use of renowned prototype selection methods adapted to the case of learning from an imbalanced dissimilarity matrix. More ...
In this paper, we study the use of renowned prototype selection methods adapted to the case of learning from an imbalanced dissimilarity matrix. More ...
In this paper, we study the use of renowned prototype selection methods adapted to the case of learning from an imbalanced dissimilarity matrix. More ...
Abstract. In the dissimilarity representation paradigm, several prototype selec- tion methods have been used to cope with the topic of how to select a small.
In the dissimilarity representation paradigm, several prototype selection methods have been used to cope with the topic of how to select a small ...
Bibliographic details on One-Sided Prototype Selection on Class Imbalanced Dissimilarity Matrices.
To adapt the data to our needs, we de ned the task as learning to distinguish one se- lected class from the other classes. ... Prototype and Feature Selection by.
In this paper, we carry out a preliminary study that pursues to investigate the effects of several prototype selection schemes when data set are imbalanced, and ...
Prototype methods seek a minimal subset of samples that can serve as a distillation or condensed view of a data set. As the size of modern data.
Missing: Sided | Show results with:Sided