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检索条件"机构=Computational and Data Science Program"
317 条 记 录,以下是41-50 订阅
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Bayesian multinomial logistic normal models through marginally latent matrix-T processes
The Journal of Machine Learning Research
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The Journal of Machine Learning Research 2022年 第1期23卷 255-296页
作者: Justin D. Silverman Kimberly Roche Zachary C. Holmes Lawrence A. David Sayan Mukherjee College of Information Science and Technology Department of Statistics and Institute for Computational and Data Science Penn State University University Park PA Program in Computational Biology and Bioinformatics Duke University Durham NC Department of Molecular Genetics and Microbiology Duke University Durham NC Department of Molecular Genetics and Microbiology and Center for Genomic and Computational Biology Duke University Durham NC Departments of Statistical Science Mathematics Computer Science Biostatistics & Bioinformatics Duke University Durham NC
Bayesian multinomial logistic-normal (MLN) models are popular for the analysis of sequence count data (e.g., microbiome or gene expression data) due to their ability to model multivariate count data with complex covar... 详细信息
来源: 评论
Assessing Rice Phenological Features with Hyperspectral Imaging Insights from Earth Surface Mineral Dust Source Investigation (EMIT)
Assessing Rice Phenological Features with Hyperspectral Imag...
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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)
作者: Shahryar Fazli Wenzhao Li Surendra Maharjan Hesham El Askary Computational and Data Sciences Graduate Program Schmid College of Science and Technology Chapman University Orange CA USA Earth Systems Science and Data Solutions Lab Chapman University Orange CA USA Department of Environmental Sciences Faculty of Science Alexandria University Alexandria Egypt
In California's Central Valley, water management and crop health, particularly in rice cultivation, are critical. This paper details the application of Earth surface Mineral dust source InvesTigation (EMIT) hypers... 详细信息
来源: 评论
Identify Non-mutational p53 Functional Deficiency in Human Cancers
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Genomics, Proteomics & Bioinformatics 2024年 第5期22卷 85-98页
作者: Qianpeng Li Yang Zhang Sicheng Luo Zhang Zhang Ann L.Oberg David E.Kozono Hua Lu Jann N.Sarkaria Lina Ma Liguo Wang National Genomics Data Center China National Center for BioinformationBeijing 100101China Beijing Institute of Genomics Chinese Academy of SciencesBeijing 100101China University of Chinese Academy of Sciences Beijing 100049China Division of Computational Biology Mayo Clinic College of Medicine and ScienceRochesterMN 55905USA Department of Radiation Oncology Dana-Farber Cancer Institute and Brigham and Women's HospitalBostonMA 02215USA Department of Biochemistry&Molecular Biology and Tulane Cancer Center Tulane University School of MedicineNew OrleansLA 70112USA Department of Radiation Oncology Mayo Clinic College of Medicine and ScienceRochesterMN 55905USA Department of Biochemistry and Molecular Biology Mayo Clinic College of Medicine and ScienceRochesterMN 55905USA Bioinformatics and Computational Biology Graduate Program University of Minnesota RochesterRochesterMN 55904USA
An accurate assessment of p53's functional statuses is critical for cancer genomic ***,there is a significant challenge in identifying tumors with non-mutational p53 inactivation which is not detectable through DN... 详细信息
来源: 评论
Involution game with spatio-temporal heterogeneity of social resources
arXiv
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arXiv 2022年
作者: Wang, Chaoqian Szolnoki, Attila Program for Computational Social Science Department of Computational and Data Sciences George Mason University FairfaxVA22030 United States Institute of Technical Physics and Materials Science Centre for Energy Research P.O. Box 49 BudapestH-1525 Hungary
When group members claim a portion of limited resources, it is tempting to invest more effort to get a larger share. However, if everyone acts similarly, they all get the same piece they would obtain without extra eff...
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Adaptive coupling of a deep neural network potential to a classical force field
arXiv
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arXiv 2018年
作者: Zhang, Linfeng Wang, Han Weinan, E. Program in Applied and Computational Mathematics Princeton University PrincetonNJ08544 United States Laboratory of Computational Physics Institute of Applied Physics and Computational Mathematics Huayuan Road 6 Beijing100088 China Department of Mathematics and Program in Applied and Computational Mathematics Princeton University PrincetonNJ08544 United States Center for Data Science and Beijing International Center for Mathematical Research Peking University China Beijing Institute of Big Data Research Beijing100871 China
An adaptive modeling method (AMM) that couples a deep neural network potential and a classical force field is introduced to address the accuracy-efficiency dilemma faced by the molecular simulation community. The AMM ... 详细信息
来源: 评论
Pairwise Learning for Imbalanced data Classification
Pairwise Learning for Imbalanced Data Classification
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International Conference on computational science and computational Intelligence (CSCI)
作者: Shu Liu Qiang Wu Computational and Data Science PhD Program Middle Tennessee State University Murfreesboro TN USA Department of Mathematical Sciences Middle Tennessee State University Murfreesboro TN USA
Imbalanced data classification problems appear quite commonly in real-world applications and impose great challenges to traditional classification approaches which work well only on balanced data but usually perform p... 详细信息
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Geospatial Intelligence for Individual Crop Detection and Anomaly Monitoring
Geospatial Intelligence for Individual Crop Detection and An...
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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)
作者: Freda Elikem Dorbu Leila Hashemi-Beni Department of Computational Data Science and Engineering North Carolina A&T State University Department of Built Environment Geomatics Program North Carolina A&T State University
Acquisition of geospatial data by UAV has been acknowledged as an effective method of attaining reliable and quick high-resolution remote sensing data for analysis and decision-making in different applications such as...
来源: 评论
Deciphering Water Quality and Algal Dynamics in Clear Lake Through Hyperspectral Analysis Using Emit data
Deciphering Water Quality and Algal Dynamics in Clear Lake T...
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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)
作者: Wenzhao Li Shahryar Fazli Surendra Maharjan Hesham El-Askary Earth Systems Science and Data Solutions Lab Schmid College of Science and Technology Chapman University Orange CA USA Computational and Data Sciences Graduate Program Schmid College of Science and Technology Chapman University Orange CA USA Department of Environmental Sciences Faculty of Science Alexandria University Alexandria Egypt
This study evaluates the potential application of hyperspectral Earth Surface Mineral Dust Source Investigation (EMIT) remote sensing for monitoring harmful algal blooms (HABs) and water quality in Clear Lake, Califor... 详细信息
来源: 评论
End-to-end symmetry preserving inter-atomic potential energy model for finite and extended systems  18
End-to-end symmetry preserving inter-atomic potential energy...
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Proceedings of the 32nd International Conference on Neural Information Processing Systems
作者: Linfeng Zhang Jiequn Han Han Wang Wissam A. Saidi Roberto Car E. Weinan Program in Applied and Computational Mathematics Princeton University Institute of Applied Physics and Computational Mathematics China and CAEP Software Center for High Performance Numerical Simulation China Department of Mechanical Engineering and Materials Science University of Pittsburgh Program in Applied and Computational Mathematics Princeton University and Department of Chemistry and Department of Physics Princeton University and Princeton Institute for the Science and Technology of Materials Princeton University Program in Applied and Computational Mathematics Princeton University and Department of Mathematics Princeton University and Beijing Institute of Big Data Research China
Machine learning models are changing the paradigm of molecular modeling, which is a fundamental tool for material science, chemistry, and computational biology. Of particular interest is the inter-atomic potential ene...
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Parameter Optimization of Support Vector Regression Using Harris Hawks Optimization
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Procedia Computer science 2021年 179卷 17-24页
作者: I Nyoman Setiawan Robert Kurniawan Budi Yuniarto Rezzy Eko Caraka Bens Pardamean Computational Statistics Department Polytechnic of Statistics - STIS Jakarta 13330 Indonesia Department of Information Management College of Informatics Chaoyang University of Technology Taiwan (ROC) Bioinformatics and Data Science Research Center Bina Nusantara University Indonesia 11530 Computer Science Department BINUS Graduate Program - Master of Computer Science Program Bina Nusantara University Jakarta Indonesia. 11530.
Support Vector Regression (SVR) is often used in forecasting. Adjustment of parameters in the SVR affects the results of forecasting. This study aims to analyze the SVR method that is optimized using Harris Hawks Opti... 详细信息
来源: 评论