Chapter IX.2. Expert Systems

By M. Hemmer. 2008

77 citations recorded by the source corpus.

Subfields: Control and Systems Engineering

How researchers see this paper

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

In Control and Systems Engineering

1. Adriano Veloso
2. Nivio Ziviani
3. David Madigan
4. Itamar Hata
5. Benjamin Letham
6. Tyler H. McCormick
7. Cynthia Rudin
8. Jinchi Lv

Citations in the corpus

• Building Interpretable Classifiers with Rules using Bayesian Analysis (2012, methodology): “Decision lists are similar to models used in the expert systems literature from the 1970’s and 1980’s [21].”
• An Interpretable Stroke Prediction Model using Rules and Bayesian Analysis (2013, methodology): “Decision lists are a type of associative classifier, and are similar to models used in the expert systems literature (Leondes 2002), which were among the first successful types of artificial intelligence.”
• Learning Accurate and Interpretable Classifiers Using Optimal Multi-Criteria Rules (2013, methodology): “Decision lists, for instance, are models largely used in expert systems [Leondes 2002].”
• An interpretable model for stroke prediction using rules and Bayesian analysis (2014, methodology): “Decision lists are a type of associative classifier, and are similar to models used in the expert systems literature [7], which were among the first successful types of artificial intelligence.”