Harrison M. Kim
Design Automation Conference · 2006
A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Whom Harrison M. Kim trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Harrison M. Kim overall
Papers from Harrison M. Kim's perspective
Ordered by how strongly the researchers Harrison M. Kim trusts endorse each paper. Same corpus, a different order for every researcher.
- Target Cascading in Optimal System Design (Design Automation Conference)
- An Efficient Weighting Update Method to Achieve Acceptable Consistency Deviation in Analytical Target Cascading (Design Automation Conference)
- Convex analysis and minimization algorithms
- Sequential Optimization and Reliability Assessment Method for Efficient Probabilistic Design (Design Automation Conference)
- Parallel and distributed computation
- Product platform design and customization: Status and promise (Artificial intelligence for engineering design, analysis and manufacturing)
- Platform driven development of product families: Linking theory with practice
- Hierarchical Bayes versus Finite Mixture Conjoint Analysis Models: A Comparison of Fit, Prediction, and Partworth Recovery
- Bayesian data analysis.
- Stated choice methods: analysis and application, Jordan J. Louviere, David A. Hensher and Joffre D. Swait, Cambridge University Press, ISBN: 0-521-78830-7