Effective queries in machine learning -


i reading ml text has question:

if have supervisor can provide label x, should choose x learn fewer queries?

so interpret mean:

we asked expedite learning process selecting test elements provide discriminatory information.

i presume iterative algorithm: i.e. selection of succeeding test elements depends upon elements selected. not clear question is:

  • would selection of succeeding elements also depend on results of prior queries.

so question here be: there information-theoretic unique answer above? or there multiple approaches may of similar effectiveness/speed?

** footnote: not homework - independent learning

there multiple approaches. in fact, setting machine learning task called active learning. there lot of methods choosing x based on different strategies - see section 3 of this survey paper.


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