Browsing Tetherless World Publications by Author "Narkar, S."
Now showing items 1-6 of 6
-
Affinity analysis of mineral co-occurrence: Predicting unknown mineral occurrences with machine learning
Morrison, S.M.; Prabhu, Anirudh; Eleish, Ahmed; Narkar, S.; Fox, Peter; Golden, J.; Downs, R.; Perry, S.; Burns, P.; Ralph, J.; Hazen, Robert (ADS, 2020)The expansion of mineralogical data resources facilitates the development of predictive methods, such as affinity analysis [1], that identify the location of previously unknown mineral occurrences, deposits or geologic ... -
Affinity analysis of mineral co-occurrence: Predicting unknown mineral occurrences with machine learning
Morrison, S.M.; Prabhu, Anirudh; Eleish, Ahmed; Narkar, S.; Fox, Peter; Golden, J. J.; Downs, R. T.; Perry, S.; Burns, R. T.; Ralph, J.; Hazen, Robert (ADS, 2020-12)The expansion of mineralogical data resources facilitates the development of predictive methods, such as affinity analysis [1], that identify the location of previously unknown mineral occurrences, deposits or geologic ... -
Cluster Analysis of Presolar Silicon Carbide Grains: Evaluation of Their Classification and Astrophysical Implications
Boujibar, A.; Howell, S.; Zhang, S.; Hystad, G.; Prabhu, Anirudh; Liu, N.; Stephan, T.; Narkar, S.; Eleish, Ahmed; Morrison, S.M.; Hazen, Robert (IOP Publishing, 2021-01)Cluster analysis of presolar silicon carbide grains based on literature data for 12C/13C, 14N/15N, δ30Si/28Si, and δ29Si/28Si including or not inferred initial 26Al/27Al data, reveals nine clusters agreeing with previously ... -
Interactive, Web-based Visualizations for Hierarchical Information and Knowledge in Geosciences: An Implementation on the Dana Classification and its Applications
Zhong, H.; Prabhu, Anirudh; Huang, F.; Eleish, Ahmed; Chastain, Katie; Thomson, Brenda; Narkar, S.; Fontaine, Kathy; Hummer, D. R.; Morrison, S.M.; Downs, R. T. (AGU, 2019-12)The Dana System of Mineralogy, developed by James Dwight Dana in the mid-19th century, classifies minerals by anionic composition and crystal structure. In testament to the success of its organizational philosophy, for ... -
Model LineUpper: Supporting Interactive Model Comparison at Multiple Levels for AutoML
Narkar, S.; Zhang, Y.; Liao, Q. V.; Wang, D.; Weisz, J. D. (ACM, 2021-04)Automated Machine Learning (AutoML) is a rapidly growing set of technologies that automate the model development pipeline by searching model space and generating candidate models. A critical, final step of AutoML is human ... -
Natural kind clustering of presolar silicon carbides and its astrophysical implications
Boujibar, A.; Zhang, S.; Howell, S.; Prabhu, Anirudh; Narkar, S.; Hystad, G.; Eleish, Ahmed; Morrison, S.M.; Hazen, Robert; Nittler, L. R. (AGU, 2019-12)Cluster analysis of presolar silicon carbide grains based on literature data for 12C/13C, 14N/15N, δ30Si/28Si, and δ29Si/28Si including or not inferred initial 26Al/27Al data, reveals nine clusters agreeing with previously ...