Classification with No Discrimination by Preferential Sampling
نویسندگان
چکیده
The concept of classification without discrimination is a new area of research. (Kamiran & Calders, ) introduced the idea of Classification with No Discrimination (CND) and proposed a solution based on “massaging” the data to remove the discrimination from it with the least possible changes. In this paper, we propose a new solution to the CND problem by introducing a sampling scheme for making the data discrimination free instead of relabeling the dataset. On the resulting non-discriminatory dataset we then learn a classifier. This new method is not only less intrusive as compared to the “massaging” but also outperforms the “reweighing” approach of (Calders et al., 2009). The proposed method has been implemented and experimental results on the Census Income dataset show promising results: in all experiments our method performs onpar with the state-of-the art non-discriminatory techniques.
منابع مشابه
Computerize classification of Benign and malignant thyroid nodules by ultrasound imaging
Introduction: Early detection and treatment of thyroid nodules increase the cure rate and provide optimal treatment. Ultrasound is the chosen imaging technique for assessment of thyroid nodules. Confirmation of the diagnosis usually demands repeated fine needle aspiration biopsy (FNAB). So, current management, has morbidity and non zero mortality. The goal of the present study ...
متن کاملPreferential Solvation of Fenofibrate in (Ethanol or Acetone) + Water Mixtures at 298.15 K
The aim of this communication was to expand the results of numerical analyses performed by Sun et al. on their experimental solubility of fenofibrate in aqueous mixtures of ethanol and acetone at 298.15 K, in terms of the evaluation of the preferential solvation of this compound by the organic solvents and water in the saturated mixtures based on the inverse Kirkwood-Buff integrals (IKBI). ...
متن کاملClassification of EEG Signals for Discrimination of Two Imagined Words
In this study, a Brain-Computer Interface (BCI) in Silent-Talk application was implemented. The goal was an electroencephalograph (EEG) classifier for three different classes including two imagined words (Man and Red) and the silence. During the experiment, subjects were requested to silently repeat one of the two words or do nothing in a pre-selected random order. EEG signals were recorded by ...
متن کاملمدلسازی جریان ترجیحی با استفاده از مدل موج سینماتیک- پخشی (KDW) در خاک و نقش ماکروپورها در ایجاد آن
Preferential flow is of great importance in the environment and the human health. So, rapid water transportation and consequently, pollutants and pesticides leak out and get into the groundwater, making it very difficult to measure and quantify. To quantify and describe the preferential flow, two gravity-driven models were used: 1) kinematic wave model (KW) introduced by Germann in 1985), and 2...
متن کامل