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126
Voted
STOC
2005
ACM
129views Algorithms» more  STOC 2005»
16 years 2 months ago
Learning with attribute costs
We study an extension of the "standard" learning models to settings where observing the value of an attribute has an associated cost (which might be different for differ...
Haim Kaplan, Eyal Kushilevitz, Yishay Mansour
126
Voted
STOC
2004
ACM
107views Algorithms» more  STOC 2004»
16 years 2 months ago
Primal-dual algorithms for deterministic inventory problems
We consider several classical models in deterministic inventory theory: the single-item lot-sizing problem, the joint replenishment problem, and the multi-stage assembly problem. ...
Retsef Levi, Robin Roundy, David B. Shmoys
SIGMOD
2008
ACM
139views Database» more  SIGMOD 2008»
16 years 2 months ago
Paths to stardom: calibrating the potential of a peer-based data management system
As peer-to-peer (P2P) networks become more familiar to the database community, intense interest has built up in using their scalability and resilience properties to scale database...
Mihai Lupu, Beng Chin Ooi, Y. C. Tay
SIGMOD
2006
ACM
149views Database» more  SIGMOD 2006»
16 years 2 months ago
Efficient query processing on unstructured tetrahedral meshes
Modern scientific applications consume massive volumes of data produced by computer simulations. Such applications require new data management capabilities in order to scale to te...
Stratos Papadomanolakis, Anastassia Ailamaki, Juli...
SIGMOD
2002
ACM
132views Database» more  SIGMOD 2002»
16 years 2 months ago
Clustering by pattern similarity in large data sets
Clustering is the process of grouping a set of objects into classes of similar objects. Although definitions of similarity vary from one clustering model to another, in most of th...
Haixun Wang, Wei Wang 0010, Jiong Yang, Philip S. ...