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RSA
2008
80views more  RSA 2008»
14 years 11 months ago
A spectral technique for random satisfiable 3CNF formulas
Let I be a random 3CNF formula generated by choosing a truth assignment for variables x1, . . . , xn uniformly at random and including every clause with i literals set true by w...
Abraham Flaxman
COMBINATORICA
2008
130views more  COMBINATORICA 2008»
14 years 12 months ago
Two-point concentration in random geometric graphs
A random geometric graph Gn is constructed by taking vertices X1, . . . , Xn Rd at random (i.i.d. according to some probability distribution with a bounded density function) and...
Tobias Müller
ECCV
1994
Springer
15 years 3 months ago
Markov Random Field Models in Computer Vision
A variety of computer vision problems can be optimally posed as Bayesian labeling in which the solution of a problem is dened as the maximum a posteriori (MAP) probability estimate...
Stan Z. Li
APPROX
2005
Springer
80views Algorithms» more  APPROX 2005»
15 years 5 months ago
On Learning Random DNF Formulas Under the Uniform Distribution
Abstract: We study the average-case learnability of DNF formulas in the model of learning from uniformly distributed random examples. We define a natural model of random monotone ...
Jeffrey C. Jackson, Rocco A. Servedio
VOSS
2004
Springer
135views Mathematics» more  VOSS 2004»
15 years 5 months ago
Analysing Randomized Distributed Algorithms
Abstract. Randomization is of paramount importance in practical applications and randomized algorithms are used widely, for example in co-ordinating distributed computer networks, ...
Gethin Norman