All possible minimal inferences are treated equally by the SAT approach.
We prove that our type system is algorithmic; and can therefore be used for minimal type inference.
While it is robust and involves minimal statistical inference, this method requires ignoring a significant portion of the collected data, and cannot determine quantitative and site-specific methylation tendencies.
Reflexivity axiom, complementation rule, and pseudo-transitivity rule form a minimal set of inference rules for the implication of MVDs.
The R-axiom ∅↠R is much weaker than the complementation rule, but is sufficient to form a minimal set of inference rules together with augmentation and pseudo-difference rule.
An alternative technology likewise requires minimal or no computational inference, allowing the tools to avoid biases introduced during computational processing of data.
In this case, the entropy of the knowledge distribution over the edges is maximized and the information introduced to the inference is minimal.
This model provides initial insights towards understanding how we can make inferences from minimal information.
In the end, the model provided useful insights towards understanding how to make inferences from minimal information.
To avoid functional inference with a minimal support, automatic inference was restricted to families with a predetermined level of purity (>0.2 for any specific Pfam keyword).
