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2010
ACM
185views Algorithms» more  STOC 2010»
15 years 11 months ago
Measuring independence of datasets
Approximating pairwise, or k-wise, independence with sublinear memory is of considerable importance in the data stream model. In the streaming model the joint distribution is give...
Vladimir Braverman, Rafail Ostrovsky
185
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JACM
2006
99views more  JACM 2006»
15 years 7 months ago
Finding a maximum likelihood tree is hard
Abstract. Maximum likelihood (ML) is an increasingly popular optimality criterion for selecting evolutionary trees [Felsenstein 1981]. Finding optimal ML trees appears to be a very...
Benny Chor, Tamir Tuller
PODC
2011
ACM
14 years 10 months ago
Coordinated consensus in dynamic networks
We study several variants of coordinated consensus in dynamic networks. We assume a synchronous model, where the communication graph for each round is chosen by a worst-case adver...
Fabian Kuhn, Rotem Oshman, Yoram Moses
WWW
2008
ACM
16 years 8 months ago
Dynamic cost-per-action mechanisms and applications to online advertising
We study the Cost-Per-Action or Cost-Per-Acquisition (CPA) charging scheme in online advertising. In this scheme, instead of paying per click, the advertisers pay only when a user...
Hamid Nazerzadeh, Amin Saberi, Rakesh Vohra
183
Voted
WWW
2005
ACM
16 years 8 months ago
On the feasibility of low-rank approximation for personalized PageRank
Personalized PageRank expresses backlink-based page quality around user-selected pages in a similar way to PageRank over the entire Web. Algorithms for computing personalized Page...
András A. Benczúr, Károly Csa...
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