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» A New Approximate Maximal Margin Classification Algorithm
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SDM
2008
SIAM
118views Data Mining» more  SDM 2008»
13 years 9 months ago
Massive-Scale Kernel Discriminant Analysis: Mining for Quasars
We describe a fast algorithm for kernel discriminant analysis, empirically demonstrating asymptotic speed-up over the previous best approach. We achieve this with a new pattern of...
Ryan Riegel, Alexander Gray, Gordon Richards
STOC
2009
ACM
96views Algorithms» more  STOC 2009»
14 years 8 months ago
MaxMin allocation via degree lower-bounded arborescences
We consider the problem of MaxMin allocation of indivisible goods. There are m items to be distributed among n players. Each player i has a nonnegative valuation pij for an item j...
MohammadHossein Bateni, Moses Charikar, Venkatesan...
CPM
2005
Springer
100views Combinatorics» more  CPM 2005»
13 years 9 months ago
Hardness of Optimal Spaced Seed Design
Abstract. Speeding up approximate pattern matching is a line of research in stringology since the 80’s. Practically fast approaches belong to the class of filtration algorithms,...
François Nicolas, Eric Rivals
STOC
2005
ACM
135views Algorithms» more  STOC 2005»
14 years 7 months ago
Quadratic forms on graphs
We introduce a new graph parameter, called the Grothendieck constant of a graph G = (V, E), which is defined as the least constant K such that for every A : E R, sup f:V S|V |-1 ...
Noga Alon, Konstantin Makarychev, Yury Makarychev,...
UAI
2000
13 years 8 months ago
Being Bayesian about Network Structure
In many domains, we are interested in analyzing the structure of the underlying distribution, e.g., whether one variable is a direct parent of the other. Bayesian model selection a...
Nir Friedman, Daphne Koller