Projects per year
Fingerprint The fingerprint is based on mining the text of the scientific documents related to the associated persons. Based on that an index of weighted terms is created, which defines the key subjects of research unit
Regression
Mathematics
Estimator
Mathematics
Predictors
Mathematics
High-dimensional
Mathematics
Variable Selection
Mathematics
Sufficient Dimension Reduction
Mathematics
Dimension Reduction
Mathematics
Model Selection
Mathematics
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Profiles
Projects 2004 2021
Learning systems
Health, Neighborhood Context, and Mobility (NIH R01HD090014)
Osypuk, T. L., Liu, L., Nelson, T. F. & Schmidt, N. M.
NIH NAT'L INST OF CHILD HEALTH/HUMAN DEV
9/19/17 → 5/31/21
Project: Research project
Health
Social experiment
Economics
Estimation and Inference of Gene Regulatory Networks
Shen, X. T., Albert, F. W. & Pan, W.
NIH NIGMS NATL INST OF GENERAL
9/15/17 → 8/31/21
Project: Research project
Gene Regulatory Networks
Research Output 1969 2019
A Multicategory Kernel Distance Weighted Discrimination Method for Multiclass Classification
Wang, B. & Zou, H., Jan 1 2019, In : Technometrics.Research output: Contribution to journal › Article
Multi-class Classification
Discrimination
kernel
Classification Problems
Margin
Application of deep convolutional neural networks in classification of protein subcellular localization with microscopy images
Xiao, M., Shen, X. T. & Pan, W., Apr 1 2019, In : Genetic epidemiology. 43, 3, p. 330-341 12 p.Research output: Contribution to journal › Article
Microscopy
Proteins
Learning
Computational Biology
Datasets
A reinforcement learning approach to personalized learning recommendation systems
Tang, X., Chen, Y., Li, X., Liu, J. & Ying, Z., Feb 1 2019, In : British Journal of Mathematical and Statistical Psychology. 72, 1, p. 108-135 28 p.Research output: Contribution to journal › Article
Recommendation System
Learning Systems
Reinforcement Learning
Learning
Engine
Datasets
Supporting Data Analysis for "An Integrated Analysis of Phenotypic Selection on Insect Body Size and Development Time"
Eck, D. J., Geyer, C. J., Kingsolver, J. G., Shaw, R. G., Data Repository for the University of Minnesota, 2011
DOI: 10.13020/D6F59K, http://dx.doi.org/10.13020/D6F59K
Dataset
Supporting Data Analysis for "An Application of Envelope Methodology and Aster Models"
Cook, R. D., Eck, D. J., Geyer, C. J., Data Repository for the University of Minnesota, 2016
http://hdl.handle.net/11299/178384
Dataset
Supporting Data Analysis for "Combining Envelope Methodology and Aster Models for Variance Reduction in Life History Analyses"
Cook, R. D., Eck, D. J., Geyer, C. J., Data Repository for the University of Minnesota, 2016
DOI: 10.13020/D66K51, http://dx.doi.org/10.13020/D66K51
Dataset