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» On the Complexity of Function Learning
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FSTTCS
2003
Springer
14 years 3 months ago
Moderately Hard Functions: From Complexity to Spam Fighting
A key idea in cryptography is using hard functions in order to obtain secure schemes. The theory of hard functions (e.g. one-way functions) has been a great success story, and the ...
Moni Naor
STOC
2000
ACM
174views Algorithms» more  STOC 2000»
14 years 2 months ago
Noise-tolerant learning, the parity problem, and the statistical query model
We describe a slightly subexponential time algorithm for learning parity functions in the presence of random classification noise, a problem closely related to several cryptograph...
Avrim Blum, Adam Kalai, Hal Wasserman
GECCO
2003
Springer
127views Optimization» more  GECCO 2003»
14 years 3 months ago
Complex Function Sets Improve Symbolic Discriminant Analysis of Microarray Data
Abstract. Our ability to simultaneously measure the expression levels of thousands of genes in biological samples is providing important new opportunities for improving the diagnos...
David M. Reif, Bill C. White, Nancy Olsen, Thomas ...
AMC
2008
78views more  AMC 2008»
13 years 10 months ago
Information processing in complex networks: Graph entropy and information functionals
This paper introduces a general framework for defining the entropy of a graph. Our definition is based on a local information graph and on information functionals derived from the...
Matthias Dehmer
CC
2010
Springer
282views System Software» more  CC 2010»
13 years 8 months ago
Lower Bounds on the Randomized Communication Complexity of Read-Once Functions
Abstract. We prove lower bounds on the randomized two-party communication complexity of functions that arise from read-once boolean formulae. A read-once boolean formula is a formu...
Nikos Leonardos, Michael Saks