32 search results - page 2 / 7 » On Learning Random DNF Formulas Under the Uniform Distributi... |
114
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ALT
2010
Springer
15 years 4 months ago
2010
Springer
We show that random DNF formulas, random log-depth decision trees and random deterministic finite acceptors cannot be weakly learned with a polynomial number of statistical queries...
123
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STOC
1994
ACM
15 years 7 months ago
1994
ACM
We present new results on the well-studied problem of learning DNF expressions. We prove that an algorithm due to Kushilevitz and Mansour [13] can be used to weakly learn DNF form...
115
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STOC
2006
ACM
16 years 3 months ago
2006
ACM
Producing a small DNF expression consistent with given data is a classical problem in computer science that occurs in a number of forms and has numerous applications. We consider ...
108
Voted
FOCS
2003
IEEE
15 years 8 months ago
2003
IEEE
We consider a model of learning Boolean functions from examples generated by a uniform random walk on {0, 1}n . We give a polynomial time algorithm for learning decision trees and...
128
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FOCS
2006
IEEE
15 years 9 months ago
2006
IEEE
We address well-studied problems concerning the learnability of parities and halfspaces in the presence of classification noise. Learning of parities under the uniform distributi...