Instance Transfer Learning with Multisource Dynamic TrAdaBoost
نویسندگان
چکیده
منابع مشابه
Instance Transfer Learning with Multisource Dynamic TrAdaBoost
Since the transfer learning can employ knowledge in relative domains to help the learning tasks in current target domain, compared with the traditional learning it shows the advantages of reducing the learning cost and improving the learning efficiency. Focused on the situation that sample data from the transfer source domain and the target domain have similar distribution, an instance transfer...
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ژورنال
عنوان ژورنال: The Scientific World Journal
سال: 2014
ISSN: 2356-6140,1537-744X
DOI: 10.1155/2014/282747