This methodology is general and valid for all the hypotheses including extreme situations: In the case of an exact match between the query and an example, the hypothesis search results in a single hypothesis (the example itself) and the prediction reflects the factual data: if ∃ e, e = x then clas s h, x is class e ; confidenc e h, x is 1.
From another direction, Palin's example, itself, makes the case against her politics and for the Democratic agenda.
When a learner studies an example generated from the base, the system hides the example itself and shows its generation process information to indicate how it was generated (bold black arrows in Fig. 3).
To generalize from a single example is difficult, especially when the example itself is changing, growing, and evolving.
Another criticism that emerges in the comments is that the unbalanced selection of examples itself exhibits the form of behavior that concerns me.
The town of Pleasanton, Tex., for example, calls itself the birthplace of the cowboy.
Pot Noodle, for example, called itself the "slag of all snacks" until it was banned from using the S-word but allowed to call itself "dirty" instead.
This was reflected in trade publications changing their names: the Ice Trade Journal, for example, retitled itself the Refrigerating World.
Murder Inc., for example, now calls itself The Inc. Another label, Death Row, recast itself as Tha Row.
If we consider the situation in our part of the world, South Asia, the global picture as reflected both in terms of reports and documentaries in the media, and statistics produced, for example by UNICEF itself, the picture is very mixed.
