S Ltphi Phi Phigt Training Data Ltsquare Pointy Whitegt Gt Yes #49
S = <phi, phi, phi> Training data = <square, pointy, white> => Yes (positive example). How will S be represented after encountering this training data?
This multiple choice question (MCQ) is related to the book/course
gs gs126 Neural Networks.
It can also be found in
gs gs126 Version Spaces - Find-S Algorithm - Quiz No.1.
S = <phi, phi, phi> Training data = <square, pointy, white> => Yes (positive example). How will S be represented after encountering this training data?
<phi, phi, phi>
<square, pointy, white >
<circular, blunt, black>
<?, ?, ? >
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