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» Approximation Algorithms for Free-Label Maximization
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NIPS
1998
13 years 10 months ago
Learning Nonlinear Dynamical Systems Using an EM Algorithm
The Expectation Maximization EM algorithm is an iterative procedure for maximum likelihood parameter estimation from data sets with missing or hidden variables 2 . It has been app...
Zoubin Ghahramani, Sam T. Roweis
ESA
2009
Springer
156views Algorithms» more  ESA 2009»
14 years 3 months ago
On Revenue Maximization in Second-Price Ad Auctions
Abstract. Most recent papers addressing the algorithmic problem of allocating advertisement space for keywords in sponsored search auctions assume that pricing is done via a first...
Yossi Azar, Benjamin E. Birnbaum, Anna R. Karlin, ...
CORR
2011
Springer
165views Education» more  CORR 2011»
13 years 3 months ago
Causal Dependence Tree Approximations of Joint Distributions for Multiple Random Processes
—We investigate approximating joint distributions of random processes with causal dependence tree distributions. Such distributions are particularly useful in providing parsimoni...
Christopher J. Quinn, Todd P. Coleman, Negar Kiyav...
DISOPT
2010
129views more  DISOPT 2010»
13 years 8 months ago
Labeled Traveling Salesman Problems: Complexity and approximation
We consider labeled Traveling Salesman Problems, defined upon a complete graph of n vertices with colored edges. The objective is to find a tour of maximum or minimum number of co...
Basile Couëtoux, Laurent Gourvès, J&ea...
WINE
2010
Springer
153views Economy» more  WINE 2010»
13 years 6 months ago
Approximation Schemes for Sequential Posted Pricing in Multi-unit Auctions
We design algorithms for computing approximately revenue-maximizing sequential postedpricing mechanisms (SPM) in K-unit auctions, in a standard Bayesian model. A seller has K copi...
Tanmoy Chakraborty, Eyal Even-Dar, Sudipto Guha, Y...