Active Sampling for Class Probability Estimation and Ranking
نویسندگان
چکیده
منابع مشابه
Active Learning for Class Probability Estimation and Ranking
For many supervised learning tasks it is very costly to produce training data with class labels. Active learning acquires data incrementally, at each stage using the model learned so far to help identify especially useful additional data for labeling. Existing empirical active learning approaches have focused on learning classifiers. However, many applications require estimations of the probabi...
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ژورنال
عنوان ژورنال: Machine Learning
سال: 2004
ISSN: 0885-6125
DOI: 10.1023/b:mach.0000011806.12374.c3