Multi-View Cluster Analysis with Incomplete Data to Understand Treatment Effects [0.03%]
具有不完整数据的多视图聚类分析以了解治疗效果
Guoqing Chao,Jiangwen Sun,Jin Lu et al.
Guoqing Chao et al.
Multi-view cluster analysis, as a popular granular computing method, aims to partition sample subjects into consistent clusters across different views in which the subjects are characterized. Frequently, data entries can be missing from som...
No-wait two-stage flowshop problem with multi-task flexibility of the first machine [0.03%]
具有多重任务处理能力的两阶段无等待流水作业问题研究
Jianming Dong,Hong Pan,Cunkui Ye et al.
Jianming Dong et al.
For the creation of intelligent management systems in hospitals, efficient resource arrangement is essential. Motivated by a real-world scenario in hospitals, we introduce the no-wait two-stage flowshop scheduling problem with the first-sta...
Self-Attention Convolutional Neural Network for Improved MR Image Reconstruction [0.03%]
用于改进MR图像重构的自注意力卷积神经网络
Yan Wu,Yajun Ma,Jing Liu et al.
Yan Wu et al.
MRI is an advanced imaging modality with the unfortunate disadvantage of long data acquisition time. To accelerate MR image acquisition while maintaining high image quality, extensive investigations have been conducted on image reconstructi...
Huorong Ren,Zhixing Ye,Zhiwu Li
Huorong Ren
Anomaly detection in sequence data is becoming more and more important in a wide variety of application domains such as credit card fraud detection, health care in medical field, and intrusion detection in cyber security. In the existing an...
Jinhai Li,Changlin Mei,Weihua Xu et al.
Jinhai Li et al.
Concepts are the most fundamental units of cognition in philosophy and how to learn concepts from various aspects in the real world is the main concern within the domain of conceptual knowledge presentation and processing. In order to impro...
Reasoning with rough description logics: An approximate concepts approach [0.03%]
粗糙描述逻辑的推理：一种近似概念的方法
Yuncheng Jiang,Ju Wang,Suqin Tang et al.
Yuncheng Jiang et al.
The current research progress and the existing problems of uncertain or imprecise knowledge representation and reasoning in description logics are analyzed in this paper. Approximate concepts are introduced to description logics based on ro...
Min Chen,Yixue Hao,Hamid Gharavi et al.
Min Chen et al.
From a traditional point of view, the value of information does not change during transmission. The Shannon information theory considers information transmission as a statistical phenomenon for measuring the communication channel capacity. ...
Samuel B Park,James I Monroe,Min Yao et al.
Samuel B Park et al.
Composite plans created from different image sets are generated through Deformable Image Registration (DIR) and present a challenge in accurately presenting uncertainties, which vary with anatomy. Our effort focuses on the application of Fu...
Feature selection by optimizing a lower bound of conditional mutual information [0.03%]
通过优化条件互信息下界进行特征选择
Hanyang Peng,Yong Fan
Hanyang Peng
A unified framework is proposed to select features by optimizing computationally feasible approximations of high-dimensional conditional mutual information (CMI) between features and their associated class label under different assumptions....
SSC-EKE: Semi-Supervised Classification with Extensive Knowledge Exploitation [0.03%]
基于广泛知识利用的半监督分类方法(SSC-EKE)
Pengjiang Qian,Chen Xi,Min Xu et al.
Pengjiang Qian et al.
We introduce a new, semi-supervised classification method that extensively exploits knowledge. The method has three steps. First, the manifold regularization mechanism, adapted from the Laplacian support vector machine (LapSVM), is adopted ...