Powerful prediction using Matchable situations
Multi-valued function φ:(x,y)→z
1. Generalization ability
- Even if the input situation A (x+z=1) lacks half of its parts, such that no data exists in the range yɬ.5, our method outputs φMS1(0,1)=1.0.
2. The output of every situation
- Output is generated depending on situations.
Output could be average value (φ(0,1)=0.5 ), without decomposed situation.