مقاله یک طرح امتیازدهی برای انتخاب ویژگی های آنلاین

عنوان مقاله فارسی: یک طرح امتیازدهی برای انتخاب ویژگی های آنلاین: شبیه سازی عملکرد مدل بدون آموزش مجدد عنوان مقاله لاتین: A Scoring Scheme for Online Feature Selection: Simulating Model Performance Without Retraining نویسندگان: Debarka Sengupta; Sanghamitra Bandyopadhyay; Debajyoti Sinha تعداد صفحات: 9 سال انتشار: 2017 زبان: لاتین Abstract: Increasing the number of features increases the complexity of a model even if the additional feature does not improve its decision-making capacity. Irrelevant features may also cause overfitting and reduce interpretability of the concerned model. It is, therefore, important that the features are optimally selected before a model is built. In the case of online learning, new instances are periodically discovered, and the respective model is tactically retrained