S. Culman

2016–2020

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom S. Culman trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Alex Smola

Papers from S. Culman's perspective

Ordered by how strongly the researchers S. Culman trusts endorse each paper. Same corpus, a different order for every researcher.

1. The Nature of Statistical Learning Theory
2. Some Comments on Cp
3. A tutorial on support vector regression
4. Greenhouse gases in intensive agriculture: contributions of individual gases to the radiative forcing of the atmosphere (Science)
5. Multivariate calibration. (Journal of Chromatography A)
6. An Introduction to Multivariate Statistical Analysis
7. Support Vector Machines in R
8. Enhanced pedotransfer functions with support vector machines to predict water retention of calcareous soil
9. Introduction to Multivariate Statistical Analysis in Chemometrics
10. Review of Machine Learning Approaches for Biomass and Soil Moisture Retrievals from Remote Sensing Data (Remote Sensing)

Their papers

• Tuning support vector machines regression models improves prediction accuracy of soil properties in MIR spectroscopy (2020) — 120 citations
• Comparison of Permanganate-Oxidizable Carbon and Mineralizable Carbon for Assessment of Organic Matter Stabilization and Mineralization (2016) — 256 citations