6533b829fe1ef96bd128a5f8
RESEARCH PRODUCT
On Duality in Learning and the Selection of Learning Teams
Rusins FreivaldsKalvis ApsitisCarl Smithsubject
Class (computer programming)business.industryPerspective (graphical)Duality (mathematics)InferenceInductive reasoningMachine learningcomputer.software_genreTheoretical Computer ScienceComputer Science ApplicationsTeam learningComputational Theory and MathematicsSelection (linguistics)Artificial intelligencebusinesscomputerMathematicsInformation Systemsdescription
AbstractPrevious work in inductive inference dealt mostly with finding one or several machines (IIMs) that successfully learn collections of functions. Herein we start with a class of functions and considerthe learner setof all IIMs that are successful at learning the given class. Applying this perspective to the case of team inference leads to the notion ofdiversificationfor a class of functions. This enable us to distinguish between several flavours of IIMs all of which must be represented in a team learning the given class.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 1996-08-01 | Information and Computation |