B. Young
Cement and Concrete Research · with Gupta · 2019
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom B. Young trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from B. Young's perspective
Ordered by how strongly the researchers B. Young trusts endorse each paper. Same corpus, a different order for every researcher.
- Modeling of strength of high-performance concrete using artificial neural networks
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition by Trevor Hastie, Robert Tibshirani, Jerome Friedman
- Design And Control Of Concrete Mixtures
- Optimizing the Prediction Accuracy of Concrete Compressive Strength Based on a Comparison of Data-Mining Techniques (Journal of computing in civil engineering)
- Applied Predictive Modeling
- Regression Shrinkage and Selection via the Lasso
- Sparse partial least squares regression for simultaneous dimension reduction and variable selection (Journal of The Royal Statistical Society Series B-statistical Methodology)
- Modern Applied Statistics With S
- Robust Locally Weighted Regression and Smoothing Scatterplots
- Learning internal representations by error propagation