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COLT
2001
Springer
13 years 9 months ago
On Learning Monotone DNF under Product Distributions
We show that the class of monotone 2O( √ log n)-term DNF formulae can be PAC learned in polynomial time under the uniform distribution from random examples only. This is an expo...
Rocco A. Servedio
COCO
2009
Springer
106views Algorithms» more  COCO 2009»
13 years 12 months ago
Increasing the Gap between Descriptional Complexity and Algorithmic Probability
The coding theorem is a fundamental result of algorithmic information theory. A well known theorem of G´acs shows that the analog of the coding theorem fails for continuous sample...
Adam R. Day
STOC
2004
ACM
94views Algorithms» more  STOC 2004»
14 years 5 months ago
Sublinear algorithms for testing monotone and unimodal distributions
The complexity of testing properties of monotone and unimodal distributions, when given access only to samples of the distribution, is investigated. Two kinds of sublineartime alg...
Tugkan Batu, Ravi Kumar, Ronitt Rubinfeld
SODA
2008
ACM
86views Algorithms» more  SODA 2008»
13 years 6 months ago
Parallel monotonicity reconstruction
We investigate the problem of monotonicity reconstruction, as defined in [3], in a parallel setting. We have oracle access to a nonnegative real-valued function f defined on domai...
Michael E. Saks, C. Seshadhri