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13

COLT
2008
Springer

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Learning Random Monotone DNF Under the Uniform Distribution

13 years 6 months ago

Learning Random Monotone DNF Under the Uniform Distribution

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We show that randomly generated monotone c log(n)-DNF formula can be learned exactly in probabilistic polynomial time. Our notion of randomly generated is with respect to a uniform distribution. To prove this we identify the class of well behaved monotone c log(n)-DNF formulae, and show that almost every monotone DNF formula is well-behaved, and that there exists a probabilistic Turing machine that exactly learns all well behaved monotone c log(n)-DNF formula.

Linda Sellie

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COLT 2008 | Machine Learning | Monotone Dnf Formula | Probabilistic Polynomial Time | Probabilistic Turing Machine |

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Added	18 Oct 2010
Updated	18 Oct 2010
Type	Conference
Year	2008
Where	COLT
Authors	Linda Sellie

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