For instance : Is A ( that is to say, the lowest positive instance of A ) greater or less than half M?
2.
Let us define an experiment from " P " positive instances and " N " negative instances for some condition.
3.
The second phase expands this tight APR as follows : a Gaussian distribution is centered at each attribute and a looser APR is drawn such that positive instances will fall outside the tight APR with fixed probability.
4.
Hetu further has five characteristics : ( 1 ) It must be present in the Paksha, ( 2 ) It must be present in all positive instances, ( 3 ) It must be absent in all negative instances, ( 4 ) It must not incompatible with the minor term or Paksha and ( 5 ) All other contradictions by other means of knowledge should be absent.
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