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Assume we are asked to predict a real-valued variable yt based on certain characteristics , and on a database consisting of for i=1,...,n. Analogical reasoning suggests to combine past observations of x and y with the current values of x to generate an assessment of y by similarity-weighted...
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An agent is asked to assess a real-valued variable Y_{p} based on certain characteristics X_{p} = (X_{p}^{1},...,X_{p}^{m}), and on a database consisting (X_{i}^{1},...,X_{i}^{m},Y_{i}) for i = 1,...,n. A possible approach to combine past observations of X and Y with the current values of X to...
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An agent is asked to assess a real-valued variable Y<sub>p</sub> based on certain characteristics X<sub>p</sub> = (X<sub>p</sub>-super-1, ..., X<sub>p</sub>-super-m), and on a database consisting of X<sub>i</sub>-super-1, ... X<sub>i</sub>-super-m, Y<sub>i</sub>) for i = 1, ..., n. A possible approach to combine past observations of X and Y with the current values of X...
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