A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2013; you can also visit the original URL.
The file type is application/pdf
.
Hardness of Proper Learning (1988; Pitt, Valiant)
[chapter]
2014
Encyclopedia of Algorithms
The work of Pitt and Valiant [16] deals with learning Boolean functions in the Probably Approximately Correct (PAC) learning model introduced by Valiant [17]. A learning algorithm in Valiant's original model is given random examples of a function f : {0, 1} n → {0, 1} from a representation class F and produces a hypothesis h ∈ F that closely approximates f . Here a representation class is a set of functions and a language for describing the functions in the set. The authors give examples of
doi:10.1007/978-3-642-27848-8_177-2
fatcat:fo6epnlbqndvzjlv6uqiojmflq