inductive bias造句

Approaches to a more formal definition of inductive bias are based on mathematical logic.
The choice of such rules is not unique, and therein lies the issue of inductive bias.
Flexibility is very important because each learning algorithm is based on a set of assumptions about the data, its inductive bias.
Thus, some kind of inductive bias is needed to make judgements; i . e . to prefer certain categories over others.
This requires the learning algorithm to generalize from the training data to unseen situations in a " reasonable " way ( see inductive bias ).
It's difficult to find inductive bias in a sentence. 用inductive bias造句挺难的

Here, the inductive bias is a logical formula that, together with the training data, logically entails the hypothesis generated by the learner.
A classical example of an inductive bias is Occam's razor, assuming that the simplest consistent hypothesis about the target function is actually the best.
Unfortunately, this strict formalism fails in many practical cases, where the inductive bias can only be given as a rough description ( e . g . in the case of neural networks ), or not at all.