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41
An interval neutrosophic linguistic multi-criteria group decision-making method and its application in selecting medical treatment options [<Journal>]
Ma, Yin-xiang [Verfasser]; Wang, Jian-qiang [Sonstige]; Wang, Jing [Sonstige].
DNB Subject Category Language
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42
Universal Dependencies 1.4
Nivre, Joakim; Agić, Željko; Ahrenberg, Lars. - : Universal Dependencies Consortium, 2016
BASE
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43
Universal Dependencies 1.3
Nivre, Joakim; Agić, Željko; Ahrenberg, Lars. - : Universal Dependencies Consortium, 2016
BASE
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44
科學閱讀融入探究教學之研究─ 以四年級月亮單元為例 ; A Study of Integrating Inquiry and Reading Instruction in Science Classroom : A Case of Moon Unit
BASE
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45
Universal Dependencies for Learner English
Berzak, Yevgeni; Kenney, Jessica; Spadine, Carolyn. - : Center for Brains, Minds and Machines (CBMM), arXiv, 2016
BASE
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46
Additional file 1: of The impact of the new cooperative medical scheme on financial burden of tuberculosis patients: evidence from six counties in China ...
Xiang, Li; Pan, Yao; Shuangyi Hou. - : Figshare, 2016
BASE
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47
Additional file 1: of The impact of the new cooperative medical scheme on financial burden of tuberculosis patients: evidence from six counties in China ...
Xiang, Li; Pan, Yao; Shuangyi Hou. - : Figshare, 2016
BASE
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48
Simplified Neutrosophic Linguistic Multi-Criteria Group Decision-Making Approach To Green Product Development ...
BASE
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49
Universal Dependencies for Learner English ...
BASE
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50
Automatic Text Summarization Using Fuzzy Inference
BASE
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51
A Graph Theory-based Online Keywords Model for Image Semantic Extraction
Wang, Jing; Xu, Zhijie. - : Association of Computing Machinery (ACM), 2016
Abstract: Image captions and keywords are the semantic descriptions of the dominant visual content features in a targeted visual scene. Traditional image keywords extraction processes involves intensive data- and knowledge-level operations by using computer vision and machine learning techniques. However, recent studies have shown that the gap between pixel-level processing and the semantic definition of an image is difficult to bridge by counting only the visual features. In this paper, augmented image semantic information has been introduced through harnessing functions of online image search engines. A graphical model named as the “Head-words Relationship Network” (HWRN) has been devised for tackling the aforementioned problems. The proposed algorithm starts from retrieving online images of similarly visual features from the input image, the text content of their hosting webpages are then extracted, classified and analysed for semantic clues. The relationships of those “head-words” from relevant webpages can then be modelled and quantified using linguistic tools. Experiments on the prototype system have proven the effectiveness of this novel approach. Performance evaluation over benchmarking state-of-the-art approaches has also shown satisfactory results and promising future applications.
Keyword: QA75 Electronic computers. Computer science
URL: http://eprints.hud.ac.uk/id/eprint/26633/
http://eprints.hud.ac.uk/id/eprint/26633/1/SAC_submission.pdf
https://doi.org/10.1145/2851613.2851633
BASE
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52
A Visualization Method for Understanding Forensic Statements
BASE
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53
The Visualisation of Cognitive Structures in Forensic Statements
BASE
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54
The development of third person singular present form -s : verb semantics or input frequency?
In: The acquisition of the present (Benjamins, 2015), p. 1-20
MPI für Psycholinguistik
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55
Materials Development in Teaching Chinese as a Foreign Language
Wang, Jing. - : Office of the Vice Chancellor for Research, 2015
BASE
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56
Two Applications of Topic Models
Wang, Jing. - 2015
BASE
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57
Reconstruction and Analysis of 3D Individualized Facial Expressions
Wang, Jing. - : Université d'Ottawa / University of Ottawa, 2015
BASE
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58
Interval-valued hesitant fuzzy linguistic sets and their applications in multi-criteria decision-making problems
In: Information sciences. - New York, NY : Elsevier Science Inc. 288 (2014), 55-72
OLC Linguistik
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59
An outranking approach for multi-criteria decision-making with hesitant fuzzy linguistic term sets
In: Information sciences. - New York, NY : Elsevier Science Inc. 280 (2014), 338-351
OLC Linguistik
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60
Moving object recognition under simulated prosthetic vision using background-subtraction-based image processing strategies
In: Information sciences. - New York, NY : Elsevier Science Inc. 277 (2014), 512-524
OLC Linguistik
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