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|Title:||PAC learning axis-aligned rectangles with respect to product distributions from multiple-instance examples||Authors:||Long, P.M.
|Issue Date:||1998||Citation:||Long, P.M.,Tan, L. (1998). PAC learning axis-aligned rectangles with respect to product distributions from multiple-instance examples. Machine Learning 30 (1) : 7-21. ScholarBank@NUS Repository.||Abstract:||We describe a polynomial-time algorithm for learning axis-aligned rectangles in Qd with respect to product distributions from multiple-instance examples in the PAC model. Here, each example consists of n elements of Qd together with a label indicating whether any of the n points is in the rectangle to be learned. We assume that there is an unknown product distribution D over Qd such that all instances are independently drawn according to D. The accuracy of a hypothesis is measured by the probability that it would incorrectly predict whether one of n more points drawn from D was in the rectangle to be learned. Our algorithm achieves accuracy ∈ with probability 1 - δ in O(d5n12/∈20 log2 nd/∈δ time. © 1998 Kluwer Academic Publishers.||Source Title:||Machine Learning||URI:||http://scholarbank.nus.edu.sg/handle/10635/114367||ISSN:||08856125|
|Appears in Collections:||Staff Publications|
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