A notion of probabilistic team inductive inference is introduced and compared with both probabilistic inference and team inference. In many cases, but not all, probabilism can be traded for pluralism, and vice versa. Necessary and sufficient conditions are given that determine when a team of deterministic or probabilistic learning machines can be coalesced into a single learning machine. A subtle difference between probabilism and pluralism is revealed.
|Original language||English (US)|
|Title of host publication||Conference Record - Asilomar Conference on Circuits, Systems & Computers|
|Number of pages||5|
|State||Published - 1987|
|Name||Conference Record - Asilomar Conference on Circuits, Systems & Computers|
ASJC Scopus subject areas