What’s Hot in Case-Based Reasoning

Authors: Ashok Goel, Belen Diaz-Agudo

AAAI 2017 | Conference PDF | Archive PDF | Plain Text | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Theoretical In this article, we briefly summarize recent developments in research on case-based reasoning based partly on the recent Twenty Fourth International Conference on Case-Based Reasoning.
Researcher Affiliation Academia 1School of Interactive Computing, Georgia Institute of Technology, Atlanta, Georgia, US 2Computer Science Faculty, Complutense University, Madrid, Spain
Pseudocode No The paper does not contain structured pseudocode or algorithm blocks.
Open Source Code No The paper is a survey and does not provide concrete access to source code for a methodology described within the paper by the authors. It mentions third-party tools but not code by the authors for this specific work.
Open Datasets No The paper is a survey and does not conduct experiments, therefore it does not provide access information for a publicly available or open dataset.
Dataset Splits No The paper is a survey and does not conduct experiments, therefore it does not provide specific dataset split information.
Hardware Specification No The paper is a survey and does not conduct experiments, therefore it does not provide specific hardware details.
Software Dependencies No The paper is a survey and does not conduct experiments requiring specific software dependencies with version numbers for its own methodology.
Experiment Setup No The paper is a survey and does not conduct experiments, therefore it does not contain specific experimental setup details.