Query Complexity of Tournament Solutions

Authors: Palash Dey

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

Reproducibility Variable Result LLM Response
Research Type Theoretical In this paper, we prove tight bounds on the query complexity of commonly used tournament solutions.
Researcher Affiliation Academia Palash Dey Indian Institute of Science, Bangalore
Pseudocode No The paper describes algorithms in prose and mathematical notation (e.g., Theorem 6 and 7), but does not contain structured pseudocode or algorithm blocks.
Open Source Code No The paper does not provide any concrete access to source code for the methodology described.
Open Datasets No The paper is theoretical and does not use or refer to any datasets for training.
Dataset Splits No The paper is theoretical and does not involve dataset splits for training, validation, or testing.
Hardware Specification No The paper describes theoretical work and does not mention any specific hardware used for experiments.
Software Dependencies No The paper describes theoretical work and does not mention any specific software dependencies with version numbers.
Experiment Setup No The paper describes theoretical work and does not provide details on an experimental setup, hyperparameters, or training configurations.