Assessing Elaborated Hypotheses: An Interpretive Case-Based Reasoning Approach

By J. William Murdock, David William Aha, Len Breslow. 2003

19 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems, Management Science and Operations Research

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. Been Kim
2. Julie Arnold Shah
3. Cynthia Rudin
4. Agnar Aamodt
5. Jörg Cassens
6. Frode Sørmo
7. Adrian Weller
8. Marco F. Huber

In Information Systems

1. Julie Arnold Shah
2. Been Kim
3. Cynthia Rudin
4. Margo I. Seltzer
5. Ş. Ertekin
6. Tong Wang
7. Alexey Ignatiev
8. Nicholas Larus-Stone

In Management Science and Operations Research

1. Julie Arnold Shah
2. Been Kim
3. Cynthia Rudin

Citations in the corpus

• The Bayesian Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classification (2014, background): “Other CBR models for explanations require the model to be manually crafted in advance by experts [25].”
• Explanation in Case-Based Reasoning–Perspectives and Goals (2005, background): “The AHEAD system ( Murdock et al., 2003 ) is an interpretative”
• Interactive and interpretable machine learning models for human machine collaboration (2015, background): “Other CBR models for explanations require the model to be manually crafted in advance by experts [99].”