Instance Reduction for Avoiding Overfitting in Decision Trees
نویسندگان
چکیده
منابع مشابه
IRDDS: Instance reduction based on Distance-based decision surface
In instance-based learning, a training set is given to a classifier for classifying new instances. In practice, not all information in the training set is useful for classifiers. Therefore, it is convenient to discard irrelevant instances from the training set. This process is known as instance reduction, which is an important task for classifiers since through this process the time for classif...
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vi CHAPTER
متن کاملirdds: instance reduction based on distance-based decision surface
in instance-based learning, a training set is given to a classifier for classifying new instances. in practice, not all information in the training set is useful for classifiers. therefore, it is convenient to discard irrelevant instances from the training set. this process is known as instance reduction, which is an important task for classifiers since through this process the time for classif...
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ژورنال
عنوان ژورنال: Journal of Intelligent Systems
سال: 2021
ISSN: 2191-026X
DOI: 10.1515/jisys-2020-0061