Inductive Logic Programming: Challenges
Authors: Katsumi Inoue, Hayato Ohwada, Akihiro Yamamoto
AAAI 2016 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | The paper is a summary and overview of the ILP 2015 conference, discussing topics, invited talks, and future challenges in the field of Inductive Logic Programming. While it references other research papers that conduct experiments and applications, it does not present its own empirical studies, data analysis, or experimental results. Its focus is on reviewing and summarizing the state of the art and future directions. |
| Researcher Affiliation | Academia | Katsumi Inoue National Institute of Informatics Tokyo, Japan inoue@nii.ac.jp; Hayato Ohwada Tokyo University of Science Noda, Japan ohwada@rs.tus.ac.jp; Akihiro Yamamoto Kyoto University Kyoto, Japan akihiro@i.kyoto-u.ac.jp |
| Pseudocode | No | The paper is an overview of a conference and does not contain any pseudocode or clearly labeled algorithm blocks. |
| Open Source Code | No | The paper states: 'All papers and slides presented in technical sessions have been made open at the website.1 http://www.ilp2015.jp/'. This refers to the conference proceedings and presentations, not open-source code directly linked to the content of this summary paper itself, nor does it refer to the authors' own code for the paper's specific content. |
| Open Datasets | No | The paper is a survey of the ILP field and its recent conference. It discusses various applications and research topics from other papers but does not use or provide access information for a dataset used for training by the authors of this paper. |
| Dataset Splits | No | The paper is a conference overview and does not describe any experiments conducted by its authors. Therefore, it does not provide details on training/test/validation dataset splits. |
| Hardware Specification | No | The paper is a survey and does not report on specific hardware used for experiments. |
| Software Dependencies | No | The paper is a survey and does not provide specific software dependencies with version numbers used for its own work. |
| Experiment Setup | No | The paper is a survey of the ILP field and its recent conference. It does not describe an experimental setup, hyperparameters, or system-level training settings for its own work. |