報(bào)告人

Witold Pedrycz

舉辦單位

科研處,、學(xué)科辦,、計(jì)算機(jī)與人工智能學(xué)院

報(bào)告題目

Data–Knowledge Environment and Knowledge Landmarks in Machine Learning

報(bào)告時(shí)間

2023年5月13日上午10:00-11:40

報(bào)告地點(diǎn)

B03學(xué)術(shù)報(bào)告廳

報(bào)告人

所屬單位

the University of Alberta

報(bào)告人職務(wù)、職稱

 Professor

報(bào)告內(nèi)容簡(jiǎn)  介

In this talk, we advocate an ultimate importance of synthesizing a unified design knowledge-data (KD) of Machine Learning or KD-ML, for brief. As a new paradigm, KD-ML focuses on a prudent and orchestrated engagement of data and knowledge in the design practices in the area.