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» Uniform Characterizations of Complexity Classes of Functions
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FOCS
1993
IEEE
13 years 10 months ago
Scale-sensitive Dimensions, Uniform Convergence, and Learnability
Learnability in Valiant’s PAC learning model has been shown to be strongly related to the existence of uniform laws of large numbers. These laws define a distribution-free conver...
Noga Alon, Shai Ben-David, Nicolò Cesa-Bian...
JLP
2010
96views more  JLP 2010»
13 years 4 months ago
Implicit characterizations of FPTIME and NC revisited
Various simplified or improved, and partly corrected well-known implicit characterizations of the complexity classes FPTIME and NC are presented. Primarily, the interest is in si...
Karl-Heinz Niggl, Henning Wunderlich
ENTCS
2008
102views more  ENTCS 2008»
13 years 5 months ago
Soft Linear Logic and Polynomial Complexity Classes
We describe some results inspired to Lafont's Soft Linear Logic (SLL) which is a subsystem of second-order linear logic with restricted rules for exponentials, correct and co...
Marco Gaboardi, Jean-Yves Marion, Simona Ronchi De...
STOC
1994
ACM
128views Algorithms» more  STOC 1994»
13 years 10 months ago
Weakly learning DNF and characterizing statistical query learning using Fourier analysis
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...
Avrim Blum, Merrick L. Furst, Jeffrey C. Jackson, ...
CSL
2007
Springer
13 years 12 months ago
Relativizing Small Complexity Classes and Their Theories
Existing definitions of the relativizations of NC1 , L and NL do not preserve the inclusions NC1 ⊆ L, NL ⊆ AC1 . We start by giving the first definitions that preserve them....
Klaus Aehlig, Stephen Cook, Phuong Nguyen