Choosing the Most Effective Pattern Classification Model under Learning-Time Constraint
نویسندگان
چکیده
منابع مشابه
Choosing the Most Effective Pattern Classification Model under Learning-Time Constraint
Nowadays, large datasets are common and demand faster and more effective pattern analysis techniques. However, methodologies to compare classifiers usually do not take into account the learning-time constraints required by applications. This work presents a methodology to compare classifiers with respect to their ability to learn from classification errors on a large learning set, within a give...
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ژورنال
عنوان ژورنال: PLOS ONE
سال: 2015
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0129947