Exploiting reject option in classification for social discrimination control
نویسندگان
چکیده
منابع مشابه
Multi-label classification with a reject option
We consider multi-label classification problems in application scenarios where classifier accu-racy is not satisfactory, but manual annotation is too costly. In single-label problems, a wellknown solution consists of using a reject option, i.e., allowing a classifier to withhold unreliabledecisions, leaving them (and only them) to human operators. We argue that this solution can be<...
متن کاملConsistent Algorithms for Multiclass Classification with a Reject Option
We consider the problem of n-class classification (n ≥ 2), where the classifier can choose to abstain from making predictions at a given cost, say, a factor α of the cost of misclassification. Designing consistent algorithms for such n-class classification problems with a ‘reject option’ is the main goal of this paper, thereby extending and generalizing previously known results for n = 2. We sh...
متن کاملThe Data Replication Method for the Classification with Reject Option
Classification is one of the most important tasks of machine learning. Although the most well studied model is the two-class problem, in many scenarios there is the opportunity to label critical items for manual revision, instead of trying to automatically classify every item. In this paper we adapt a paradigm initially proposed for the classification of ordinal data to address the classificati...
متن کاملThe interaction between classification and reject performance for distance-based reject-option classifiers
Consider the class of problems in which a target class is well defined, and an outlier class is ill-defined. In these cases new outlier classes can appear, or the classconditional distribution of the outlier class itself may be poorly sampled. A strategy to deal with this problem involves a two-stage classifier, in which one stage is designed to perform discrimination between known classes, and...
متن کاملClassification with reject option in gene expression data
MOTIVATION The classification methods typically used in bioinformatics classify all examples, even if the classification is ambiguous, for instance, when the example is close to the separating hyperplane in linear classification. For medical applications, it may be better to classify an example only when there is a sufficiently high degree of accuracy, rather than classify all examples with dec...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Information Sciences
سال: 2018
ISSN: 0020-0255
DOI: 10.1016/j.ins.2017.09.064