7 citations · 15 across the 5 of their papers we have counts for
5 papers
Probability-driven scoring functions in combining linear classifiers
Pawel Trajdos, Robert Burduk
Although linear classifiers are one of the oldest methods in machine learning, they are still very popular in the machine learning community. This is due to their low computational…
Relearning ensemble selection based on new generated features
Robert Burduk
The ensemble methods are meta-algorithms that combine several base machine learning techniques to increase the effectiveness of the classification. Many existing committees of clas…
Linear Classifier Combination via Multiple Potential Functions
Pawel Trajdos, Robert Burduk
A vital aspect of the classification based model construction process is the calibration of the scoring function. One of the weaknesses of the calibration process is that it does n…
Classification Performance Metric for Imbalance Data Based on Recall and Selectivity Normalized in Class Labels
Robert Burduk
In the classification of a class imbalance dataset, the performance measure used for the model selection and comparison to competing methods is a major issue. In order to overcome…
Combination of linear classifiers using score function -- analysis of possible combination strategies
Pawel Trajdos, Robert Burduk
In this work, we addressed the issue of combining linear classifiers using their score functions. The value of the scoring function depends on the distance from the decision bounda…