Pritam Ranjan
Artificial Intelligence · 2008–2014
A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 10 citations into it
- Computational Theory and Mathematics — 7 citations into it; #7,359 of 12,182 by trust here, #5,954 by citations
- Management Science and Operations Research — 7 citations into it; #6,790 of 11,946 by trust here, #6,563 by citations
- Numerical Analysis — 5 citations into it
Whom Pritam Ranjan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Pritam Ranjan overall
Papers from Pritam Ranjan's perspective
Ordered by how strongly the researchers Pritam Ranjan trusts endorse each paper. Same corpus, a different order for every researcher.
- A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code
- Efficient Global Optimization of Expensive Black-Box Functions
- Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
- Practical Methods of Optimization: Fletcher/Practical Methods of Optimization
- Bayesian Treed Gaussian Process Models With an Application to Computer Modeling
- A surrogate-model-based method for constrained optimization
- Flexibility and efficiency enhancements for constrained global design optimization with kriging approximations.
- A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning
- Spatial modelling using a new class of nonstationary covariance functions (Environmetrics)
- Mesh Adaptive Direct Search Algorithms for Constrained Optimization
Their papers
- Modeling an augmented Lagrangian for improved blackbox constrained optimization (2014) — 11 citations
- Sequential Experiment Design for Contour Estimation From Complex Computer Codes (2008) — 312 citations