首页|Reports Outline Machine Learning Findings from University of Basel (Annotations As Knowledge Practices In Image Archives: Application of Linked Open Usable Data and Machine Learning)
Reports Outline Machine Learning Findings from University of Basel (Annotations As Knowledge Practices In Image Archives: Application of Linked Open Usable Data and Machine Learning)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
Assoc Computing Machinery
Research findings on Machine Learning are discussed in a new report. According to news reporting out of Basel, Switzerland, by NewsRx editors, research stated, "We reflect on some of the preliminary findings of the Participatory Knowledge Practices in Analogue and Digital Image Archives (PIA) research project around annotations of photographic archives from the Swiss Society for Folklore Studies (SSFS) as knowledge practices, the underlying technological decisions, and their impact. The aim is not only to seek more information but to find new approaches of understanding the way in which people's memory relate to the collective, public form of archival memory and ultimately how users figure in and shape the digital archive." Financial support for this research came from Swiss National Science Foundation.
BaselSwitzerlandEuropeCyborgsEmerging TechnologiesMachine LearningUniversity of Basel
NETL
NSTL
Assoc Computing Machinery
