Learning under a VEDIC teacher
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The problem of parametric learning under a vicissitudinous teacher,i.e., a teacher with unknown variable characteristics, is the topic of this study. The concept central to the technique developed here is that learning the variable characteristics of the teacher aids the parametric learning under such vicissitudinous environment. This is demonstrated effectively through presentation of simulation results. It is shown that the efficiency of the parametric learning under randomly varying levels of supervision is significantly enhanced by tracking the variable characteristics of the VEDIC teacher (for each pattern class) during the learning process.
Key wordsPattern recognition in dynamic environments parametric learning in vicissitudinous environments probabilistic assignment of labels learning under an imperfect teacher
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