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explicitly defined. These traditional approaches cannot cope with network data challenges. As a new learning paradigm,network representation learninghas been proposed to map a real-world information network into a low-dimensional space while preserving inherent properties of the network. In this paper, ...
The first portion of the paper is devote... DW Aitken - 《IEEE Transactions on Nuclear Science》 被引量: 62发表: 1968年 Articles: Recent advances in clinical science. Abstracts of the 89th meeting of the Association of Clinical Scientists. May 11 to 14, 1989, Charlottesville... Using the...
“read” the sociotechnical landscape in order to derive meaning about the self in relation to historical and present representation of space. In this portion of our paper, we use the lens of critical theory to argue that learners can and should actively critique and seek to understand the ...
This paper examines the toponymic heritage used in Kenya’s Authoritative Geographic Information (AGI) toponyms database of 26,600 gazetteer records t
A recently published review paper by Gemaque et al. [42] provides a full-scale overview of the methods that handle concept drift in unsupervised learning. Other papers review and scrutinize the progress in class-imbalanced data streams [4], [43]. Krawczyk et al. [44] focuses on analyzing ...
Each edge can be thought of as a partial function from one class of nodes to another. (It is only a partial function because a paper can have multiple authors and some papers are not cited by any other. ) Figure 1. Relations between node classes. We have not represented every possible ...
In this paper, we propose DearWatson, a task-aware utterance-level annotation framework for improving the effectiveness and interpretability of pre-trained dialogue summarization models. Precisely, we learn relevant utterances in the source document and mark them with special tags, that then act as ...