Topological mixture estimation

Authors: Steve Huntsman

ICML 2018 | Conference PDF | Archive PDF | Plain Text | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Experimental We present two phenomenologically illustrative examples. First, in Figures 6 and 7 we consider the n = 272 waiting times between eruptions of the Old Faithful geyser from the data set in (H ardle, 2012). Then, in Figures 8 and 9 we consider the n = 2107 Sloan Digitial Sky Survey g r color indices accessed from the Vizie R database (Ochsen- bein et al., 2000) at http://cdsarc.u-strasbg. fr/viz-bin/Cat?J/Ap J/700/523 and discussed in (An et al., 2009); the latter example is replicated in (BAE Systems, 2018).
Researcher Affiliation Industry BAE Systems FAST Labs, Arlington, VA, USA. Correspondence to: Steve Huntsman <steve.huntsman@baesystems.com>
Pseudocode Yes Algorithm 1 Topological Mixture Estimation (TME) [...] Algorithm 2 Topological Density Estimation (TDE) [...] Algorithm 3 Reblurred Topological Mixture Estimation
Open Source Code Yes BAE Systems. Topological density estimation. https: //git.io/vy C4l, 2017. [...] BAE Systems. Topological mixture estimation. https: //git.io/v AJck, 2018.
Open Datasets Yes waiting times between eruptions of the Old Faithful geyser from the data set in (H ardle, 2012). [...] Sloan Digitial Sky Survey g r color indices accessed from the Vizie R database (Ochsenbein et al., 2000) at http://cdsarc.u-strasbg. fr/viz-bin/Cat?J/Ap J/700/523 and discussed in (An et al., 2009)
Dataset Splits No The paper does not explicitly mention training/validation/test splits with percentages, counts, or specific methodologies like k-fold cross-validation for its own experiments.
Hardware Specification No The paper does not provide specific hardware details such as GPU models, CPU models, or memory configurations used for running experiments.
Software Dependencies No The paper mentions 'MATLAB implementation' but does not specify a version number or other key software dependencies with their versions.
Experiment Setup No The paper describes the algorithms and their application to examples, but does not provide specific experimental setup details such as hyperparameter values, optimization settings, or other configuration specifics.