We respond to Schaeben et al.’s1 comment on our paper,“Machine Learning Enhanced Analysis of EBSD Data for Texture Representation.”While their observations are factually correct,they do not disprove our results.Our...We respond to Schaeben et al.’s1 comment on our paper,“Machine Learning Enhanced Analysis of EBSD Data for Texture Representation.”While their observations are factually correct,they do not disprove our results.Our method,TACS,preserves the full distribution of crystallographic orientations and is validated with real-world data.We emphasize the importance of empirical validation over theoretical constructs in assessing machine learning methods’practical performance.展开更多
基金funding for this work was provided by the Center for Extreme Events in Structurally Evolving Material under U.S.Army CCAPG-RTPDivision contract numberW011NF-23-2-0073The funder played no role in the study design,data collection,analysis,and interpretation of data,or the writing of this manuscript.
文摘We respond to Schaeben et al.’s1 comment on our paper,“Machine Learning Enhanced Analysis of EBSD Data for Texture Representation.”While their observations are factually correct,they do not disprove our results.Our method,TACS,preserves the full distribution of crystallographic orientations and is validated with real-world data.We emphasize the importance of empirical validation over theoretical constructs in assessing machine learning methods’practical performance.
