A Conditional Dependence Adjusted Weights of Evidence Model

By Minfeng Deng. 2009

48 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/43326b002cd3d5f3d991986b8783331713f76278

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Qiuming Cheng
2. F. Agterberg
3. Renguang Zuo
4. Daojun Zhang

In Management Science and Operations Research

1. F. Agterberg
2. Renguang Zuo
3. Daojun Zhang
4. Qiuming Cheng

Citations in the corpus

• A Modified Weights-of-Evidence Method for Regional Mineral Resource Estimation (2011, methodology): “Deng (2009) has developed a new method of WofE incorporating an adjustment significantly reducing the effect of lack of conditional dependence (also see Deng, 2010a, b).”
• A Comparison of Modified Fuzzy Weights of Evidence, Fuzzy Weights of Evidence, and Logistic Regression for Mapping Mineral Prospectivity (2014, methodology): “This model provided a basis for developing methods of weighted WofE and stepwise WofE (Krishnan et al. 2005; Polyakova and Journel 2007; Zhang et al. 2009; Deng 2009; Agterberg 2011a).”