Jong Shill Lee

2008

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 2 researchers here, as inferred from the citation graph.

Whom Jong Shill Lee trusts overall

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

1. J. Platt

Who trusts Jong Shill Lee overall

1. Paulo Cortez

Papers from Jong Shill Lee's perspective

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

1. Probabilistic Outputs for Support vector Machines and Comparisons to Regularized Likelihood Methods
2. A Tutorial on Support Vector Machines for Pattern Recognition
3. Nomograms for visualizing support vector machines
4. The Nature of Statistical Learning Theory
5. Regression Modeling Strategies: With Applications to Linear Models, Logistic Regression, and Survival Analysis
6. Orange: From Experimental Machine Learning to Interactive Data Mining (European Conference on Principles of Data Mining and Knowledge Discovery)
7. Structural Modelling with Sparse Kernels
8. Exponential Families for Conditional Random Fields
9. Applied Logistic Regression: Hosmer/Applied Logistic Regression
10. Testing the significance of attribute interactions

Their papers

• Nonlinear Support Vector Machine Visualization for Risk Factor Analysis Using Nomograms and Localized Radial Basis Function Kernels (2008) — 71 citations