Search Results - "Ling, Min"

Lift: Multi-Label Learning with Label-Specific Features by Zhang, Min-Ling, Wu, Lei

“…Multi-label learning deals with the problem where each example is represented by a single instance (feature vector) while associated with a set of class…”
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A Review on Multi-Label Learning Algorithms by Zhang, Min-Ling, Zhou, Zhi-Hua

“…Multi-label learning studies the problem where each example is represented by a single instance while associated with a set of labels simultaneously. During…”
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Teacher readiness for online learning: Scale development and teacher perceptions by Hung, Min-Ling

“…The purpose of this research is to examine elementary and middle school teachers' readiness as online learners on the basis of the Teacher Readiness for Online…”
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Disambiguation-Free Partial Label Learning by Zhang, Min-Ling, Yu, Fei, Tang, Cai-Zhi

“…In partial label learning, each training example is associated with a set of candidate labels among which only one is the ground-truth label. The common…”
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Multi-Label Classification With Label-Specific Feature Generation: A Wrapped Approach by Yu, Ze-Bang, Zhang, Min-Ling

“…Label-specific features serve as an effective strategy to learn from multi-label data, where a set of features encoding specific characteristics of each label…”
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Adaptive Graph Guided Disambiguation for Partial Label Learning by Wang, Deng-Bao, Zhang, Min-Ling, Li, Li

“…In partial label learning, a multi-class classifier is learned from the ambiguous supervision where each training example is associated with a set of candidate…”
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Partial Multi-Label Learning via Credible Label Elicitation by Zhang, Min-Ling, Fang, Jun-Peng

“…Partial multi-label learning (PML) deals with the problem where each training example is associated with an overcomplete set of candidate labels, among which…”
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Maximum margin partial label learning by Yu, Fei, Zhang, Min-Ling

“…Partial label learning aims to learn from training examples each associated with a set of candidate labels, among which only one label is valid for the…”
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Collaborative Learning of Label Semantics and Deep Label-Specific Features for Multi-Label Classification by Hang, Jun-Yi, Zhang, Min-Ling

“…In multi-label classification, the strategy of label-specific features has been shown to be effective to learn from multi-label examples by accounting for the…”
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Variational Label Enhancement by Xu, Ning, Shu, Jun, Zheng, Renyi, Geng, Xin, Meng, Deyu, Zhang, Min-Ling

“…Multi-label learning focuses on the ambiguity at the label side, i.e., one instance is associated with multiple class labels, where the logical labels are…”
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Exploring Chemical, Mechanical, and Electrical Functionalities of Binders for Advanced Energy-Storage Devices by Chen, Hao, Ling, Min, Hencz, Luke, Ling, Han Yeu, Li, Gaoran, Lin, Zhan, Liu, Gao, Zhang, Shanqing

“…Tremendous efforts have been devoted to the development of electrode materials, electrolytes, and separators of energy-storage devices to address the…”
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Multilabel Neural Networks with Applications to Functional Genomics and Text Categorization by ZHANG, Min-Ling, ZHOU, Zhi-Hua

“…In multilabel learning, each instance in the training set is associated with a set of labels and the task is to output a label set whose size is unknown a…”
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Students' perceptions of instructors' roles in blended and online learning environments: A comparative study by Hung, Min-Ling, Chou, Chien

“…This study develops an instrument—the Online Instructor Role and Behavior Scale (OIRBS)—and uses it to examine students' perceptions of instructors' roles in…”
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ML-KNN : A lazy learning approach to multi-label learning by ZHANG, Min-Ling, ZHOU, Zhi-Hua

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Examining the effects of corporate social responsibility and ethical leadership on turnover intention by Lin, Chieh-Peng, Liu, Min-Ling

“…Purpose The purpose of this paper is to apply the self-concept theory and conservation of resources theory to develop a model that explains how both corporate…”
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Maximum Margin Multi-Dimensional Classification by Jia, Bin-Bin, Zhang, Min-Ling

“…Multi-dimensional classification (MDC) assumes heterogeneous class spaces for each example, where class variables from different class spaces characterize…”
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Novel PDGFRA mutation in blastic plasmacytoid dendritic cell neoplasm; possible therapeutic implications by Abdulbaki, Rami, DeRosa, Peter A., Mobarek, Dalia, Liu, Min‐Ling, Nava, Victor E.

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Towards Enabling Binary Decomposition for Partial Multi-Label Learning by Liu, Bing-Qing, Jia, Bin-Bin, Zhang, Min-Ling

“…Partial multi-label learning (PML) is an emerging weakly supervised learning framework, where each training example is associated with multiple candidate…”
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The experience of urgent dialysis patients with end-stage renal disease: A qualitative study by Lin, Min-Ling, Chu, Kuei-Hui

“…Taiwan is among the countries with the highest global prevalence of chronic renal disease. However, when advised to undergo dialysis therapy, patients with…”
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Multi-Dimensional Classification via Decomposed Label Encoding by Jia, Bin-Bin, Zhang, Min-Ling

“…In multi-dimensional classification (MDC), a number of class variables are assumed in the output space with each of them specifying the class membership w.r.t…”
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