Autor: Nina Mishra, Carlos Domingo, Leonard Pitt
Rok vydání: 1999
Předmět:
Zdroj: Machine Learning. 37:89-110
ISSN: 0885-6125
DOI: 10.1023/a:1007627028578
Popis: We consider exact learning monotone CNF formulas in which each variable appears at most some constant k times (“read-k” monotone CNF). Let f : l0,1r^n → l0,1r be expressible as a read-k monotone CNF formula for some natural number k. We give an incremental output polynomial time algorithm for exact learning both the read-k CNF and (not necessarily read restricted) DNF descriptions of f. The algorithm‘s only method of obtaining information about f is through membership queries, i.e., by inquiring about the value f(x) for points x ∈ l0,1r^n. The algorithm yields an incremental polynomial output time solution to the (read-k) monotone CNF/DNF dualization problem. The unrestricted versions remain open problems of importance.
Databáze: OpenAIRE