15,606 research outputs found
A Smart Healthcare Kit for Home Healthcare
No full textAuthor Contributions: Writing—original draft preparation, Chun-Yang Chou, and Chun-Hung Chou; writing—review and editing, Chun-Yang Chou, Ding-Yang Hsu and Chun-Hung Chou All authors have read and agreed to the published version of the manuscript.</p
Balancing between Estimated Reward and Uncertainty during News Article Recommendation for ICML 2012 Exploration and Exploitation Challenge
No full textYenan, China, Yenan\u27s Big Four: Mao, Chou, Po Ku, Chu Teh
No full textAn image scanned from a black and white photograph with a handwritten caption on the back that reads, Yenan\u27s Big Four: Mao, Chou, Po Ku, Chu Teh. The published version includes the full names Mao Tse-tung, Chou En-lai, Po Ku (Ch\u27in Pang-hsien), Chu Teh. One in a series of photographs documenting a trip taken by Thomas Arthur Bisson and related to his subsequent publication, Yenan in June 1937: Talks with the Communist Leaders.https://digitalcommons.library.umaine.edu/spec_photos/3483/thumbnail.jp
Global Urban NTL Data under SSP-RCP Scenarios (2017-2053)
No full textThis dataset is associated with Jiaoyi Xu, Masanobu Kii, Yoshinori Okano and Chun-Chen Chou, Future Scenarios of Global Urban Expansion and Carbon Emissions with National Heterogeneity
MSE between ECCC OSE (Aeolus 2B11) and ERA5
No full textThe files store the mean-square error over the Arctic between an experiment from ECCC OSE and the reanalysis ERA5. The OSE includes four experiments: CNTRL, CNTRL-winds, CNTRL-winds+Aeolus, and CNTRL+Aeolus. These data allow one to investigate the impact of operational winds and/or Aeolus 2B11 winds on forecasts over the Arctic
Supplemental Material, sj-pdf-2-ajh-10.1177_10499091211072240 - Hospice Care Services Associated With a Lower Utilization of Life-Sustaining Treatments During End-Of-Life Care Among People Living With HIV/AIDS: A Population-Based Cohort Study
No full textSupplemental Material, sj-pdf-2-ajh-10.1177_10499091211072240 for Hospice Care Services Associated With a Lower Utilization of Life-Sustaining Treatments During End-Of-Life Care Among People Living With HIV/AIDS: A Population-Based Cohort Study by Yun-Ju Lai, Ming-Chung Ko, Shang-Yih Chan, Yi-Sheng Chou, Chun-Chieh Wang, Po-Wen Ku, Li-Jung Chen, Li-Fei Hsu, Pei-Hung Chuang, Chu-Chieh Chen and Yung-Feng Yen in American Journal of Hospice and Palliative Medicine®</p
Supplemental Material, sj-pdf-1-ajh-10.1177_10499091211072240 - Hospice Care Services Associated With a Lower Utilization of Life-Sustaining Treatments During End-Of-Life Care Among People Living With HIV/AIDS: A Population-Based Cohort Study
No full textSupplemental Material, sj-pdf-1-ajh-10.1177_10499091211072240 for Hospice Care Services Associated With a Lower Utilization of Life-Sustaining Treatments During End-Of-Life Care Among People Living With HIV/AIDS: A Population-Based Cohort Study by Yun-Ju Lai, Ming-Chung Ko, Shang-Yih Chan, Yi-Sheng Chou, Chun-Chieh Wang, Po-Wen Ku, Li-Jung Chen, Li-Fei Hsu, Pei-Hung Chuang, Chu-Chieh Chen and Yung-Feng Yen in American Journal of Hospice and Palliative Medicine®</p
Mathematical optimization methods for clustering and classification with biological and medical applications
No full textThe focus of the dissertation is on the development of effective combinatorial optimization approaches for both large-scale clustering and classification problems in data mining with high computational complexity by massive biological and medical data. In the first part, we study an important clustering problem in computational and population biology, namely sibling reconstruction problem. The problem is mathematically considered a special case of capacitated clustering problem. A mathematical optimization model is proposed to establish the sibling relationships (i.e., groups of siblings) based on the biological concept of combinatorial constraints and similarity likelihood of genetic data. Both exact and heuristic solution approaches are developed, which enable the problem to be solved comparably and outperform other existing combinatorial and statistical approaches significantly. In the second part, we develop new combinatorial and pattern-based optimization approaches in the framework of Logical Analysis of Data (LAD) for binary classification. In the framework, while patterns are the building blocks for the LAD classification model, a new mathematical optimization model is proposed for generating decisive and high-quality patterns. Moreover, a column generation framework, where the proposed pattern generation approach is employed, is developed to build an “optimal” LAD classifier such that the classification accuracy and computational efficiency are improved. In the third part, we investigate feature selection that has two-fold advantages in classification problems with massive data: data reduction and noise reduction. First, we formulate a quadratic program by using statistical information (relevancy and redundancy) of features as inputs to select critical features that are favorable for classifiers. Second, we propose a new pattern-based optimization approach using a decomposed nearest neighbor rule for direct classification. The preliminary results show the potential for the improvement in data reduction and classification accuracy.Ph. D.Includes bibliographical referencesIncludes vitaby Chun-An Cho
Smooth Handoff with Enhanced Packet Buffering-and-Forwarding in Wireless/Mobile Networks
No full text- …
