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I am working on a data mining projects and I have to design following type of the model. e.g. I have given 4 feature x1, x2, x3 and x4 and four function defined on these feature such that each function depend upon some subset of available feature. e.g. F1(x1, x2) =x1^2+2x2^2 ( Function could be polynomial or very complex) F2(x2, x3) =2x2^2+3x3^3 F3(x3, x4) =3x3^3+4x4^4 This implies F1 is some function which depend on feature x1, x2. F2 is some feature which depend upon x2, x3 and so on Now I have a training data set is available where value of x1,x2,x3,x4 is known and sum(F1+F2+F3) { I know total sum but not individual sum of function) Now using these training data I have to make a model which which can predict each individual function. I have thought about something like using piece-wise linear regression or MARS but I am not able to apply it in this situation. I am new to the data mining and Machine learning field .So I apologizes in advance if this question is too trivial or wrong. I have tried to model it many way but I am not getting any clear thought about it. I will appreciate any help regarding this. |
