A New Strategy of Cost-Free Learning in the Class Imbalance Problem
نویسندگان
چکیده
منابع مشابه
Cost-Sensitive Learning and the Class Imbalance Problem
Cost-Sensitive Learning is a type of learning in data mining that takes the misclassification costs (and possibly other types of cost) into consideration. The goal of this type of learning is to minimize the total cost. The key difference between cost-sensitive learning and cost-insensitive learning is that cost-sensitive learning treats the different misclassifications differently. Costinsensi...
متن کاملAn Optimized Cost-Free Learning Using ABC-SVM Approach in the Class Imbalance Problem
In this work, cost-free learning (CFL) formally defined in comparison with cost-sensitive learning (CSL). The primary difference between them is that even in the class imbalance problem, a CFL approach provides optimal classification results without requiring any cost information. In point of fact, several CFL approaches exist in the related studies like sampling and some criteriabased approach...
متن کاملThe class imbalance problem in pattern classification and learning
It has been observed that class imbalance (that is, significant differences in class prior probabilities) may produce an important deterioration of the performance achieved by existing learning and classification systems. This situation is often found in real-world data describing an infrequent but important case. In the present work, we perform a review of the most important research lines on ...
متن کاملon the comparison of keyword and semantic-context methods of learning new vocabulary meaning
the rationale behind the present study is that particular learning strategies produce more effective results when applied together. the present study tried to investigate the efficiency of the semantic-context strategy alone with a technique called, keyword method. to clarify the point, the current study seeked to find answer to the following question: are the keyword and semantic-context metho...
15 صفحه اولsolution of security constrained unit commitment problem by a new multi-objective optimization method
چکیده-پخش بار بهینه به عنوان یکی از ابزار زیر بنایی برای تحلیل سیستم های قدرت پیچیده ،برای مدت طولانی مورد بررسی قرار گرفته است.پخش بار بهینه توابع هدف یک سیستم قدرت از جمله تابع هزینه سوخت ،آلودگی ،تلفات را بهینه می کند،و هم زمان قیود سیستم قدرت را نیز برآورده می کند.در کلی ترین حالتopf یک مساله بهینه سازی غیر خطی ،غیر محدب،مقیاس بزرگ،و ایستا می باشد که می تواند شامل متغیرهای کنترلی پیوسته و گ...
ذخیره 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: IEEE Transactions on Knowledge and Data Engineering
سال: 2014
ISSN: 1041-4347
DOI: 10.1109/tkde.2014.2312336