Rickard Armiento
Statistical Learning Theory · 2005–2015
A researcher in the Science corpus: 5 papers; trusts 4 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Statistical Learning Theory — 8 citations into it
- Artificial Intelligence — 5 citations into it
Whom Rickard Armiento trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Rickard Armiento overall
Papers from Rickard Armiento's perspective
Ordered by how strongly the researchers Rickard Armiento trusts endorse each paper. Same corpus, a different order for every researcher.
- Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
- COMPUTATIONAL MATERIALS SCIENCE XI
- SciPy: Open Source Scientific Tools for Python
- The elements of statistical learning: data mining, inference and prediction
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition by Trevor Hastie, Robert Tibshirani, Jerome Friedman
- Influence of cultivation temperature on the ligninolytic activity of selected fungal strains
- Principal Component Analysis
- Journal of chemical information and computer sciences.
- Electronic Structure: Basic Theory and Practical Methods
- Acta Crystallographica Section B: Structural Science
Their papers
- Crystal structure representations for machine learning models of formation energies (2015) — 421 citations
- Hybrid density functional calculations of redox potentials and formation energies of transition metal compounds (2010) — 280 citations
- Machine Learning Energies of 2 Million Elpasolite (ABC_{2}D_{6}) Crystals. (2015) — 305 citations
- Nonequivalence of the generalized gradient approximations PBE and PW91 (2006) — 152 citations
- Functional designed to include surface effects in self-consistent density functional theory (2005) — 452 citations