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In this paper, we present a novel transfer learning framework for network node classification. Our objective is to accurately predict the labels of nodes in a target network by leveraging information from an auxiliary source network. Such a transfer learning framework is potentially useful for broader areas of network classification, where emerging new networks might not have sufficient labeled information...
Multiple instance learning (MIL) is a generalization of supervised learning which attempts to learn useful information from bags of instances. In MIL, the true labels of the instances in positive bags are not always available for training. This leads to a critical challenge, namely, handling the ambiguity of instance labels in positive bags. To address this issue, this paper proposes a novel MIL method...
The forest landscape pattern is the key issues of the forest landscape ecology. Shangri-La is located in the upper reaches of the Yangtze River. It is one of the most important forest areas in Yunnan Province, and the forest is widely distributed and its area is large. It is great significance to know the changes of forest landscape pattern under the anthropogenic interference for the planning and...
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