Journal of Public Administration Research and Theory: J-PART, Vol. 11, No. 1 (Jan., 2001), pp. 3-27 (25 pages) This article focuses on the role of scientific inference in the study of bureaucracy. Its ...

It is shown that the fiducial distribution in a group model, or more generally a quasigroup model, determines the optimal equivariant frequentist inference procedures. The proof does not rely on ...

THE first duty of a reviewer is to say what his book is about ; but that is not easy here. The title suggests to a British reader that the work will be cognate with that of Harold Jeffreys and with ...

The algorithms are actually looking for patterns to identify the two-dimensional pictorial properties of a polar bear. A nose here, eyes over there, four legs, snout, some fuzzy white hump of fur in ...

AI inference uses trained data to enable models to make deductions and decisions. Effective AI inference results in quicker and more accurate model responses. Evaluating AI inference focuses on speed, ...

Machine-learning inference started out as a data-center activity, but tremendous effort is being put into inference at the edge. At this point, the “edge” is not a well-defined concept, and future ...

You train the model once, but you run it every day. Making sure your model has business context and guardrails to guarantee reliability is more valuable than fussing over LLMs. We’re years into the ...

As frontier models move into production, they're running up against major barriers like power caps, inference latency, and rising token-level costs, exposing the limits of traditional scale-first ...