Distributed learning with bagging-like performance
نویسندگان
چکیده
منابع مشابه
Distributed learning with bagging-like performance
Bagging forms a committee of classifiers by bootstrap aggregation of training sets from a pool of training data. A simple alternative to bagging is to partition the data into disjoint subsets. Experiments with decision tree and neural network classifiers on various datasets show that, given the same size partitions and bags, disjoint partitions result in performance equivalent to, or better tha...
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10 Bagging forms a committee of classifiers by bootstrap aggregation of training sets from a pool of training data. A 11 simple alternative to bagging is to partition the data into disjoint subsets. Experiments with decision tree and neural 12 network classifiers on various datasets show that, given the same size partitions and bags, disjoint partitions result in 13 performance equivalent to, o...
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ژورنال
عنوان ژورنال: Pattern Recognition Letters
سال: 2003
ISSN: 0167-8655
DOI: 10.1016/s0167-8655(02)00269-6