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» Optimizing the distribution of large data sets in theory and...
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ICDE
2010
IEEE
212views Database» more  ICDE 2010»
13 years 7 months ago
Cleansing uncertain databases leveraging aggregate constraints
— Emerging uncertain database applications often involve the cleansing (conditioning) of uncertain databases using additional information as new evidence for reducing the uncerta...
Haiquan Chen, Wei-Shinn Ku, Haixun Wang
ATAL
2010
Springer
13 years 8 months ago
Modeling recursive reasoning by humans using empirically informed interactive POMDPs
Recursive reasoning of the form what do I think that you think that I think (and so on) arises often while acting rationally in multiagent settings. Several multiagent decision-ma...
Prashant Doshi, Xia Qu, Adam Goodie, Diana Young
CORR
2011
Springer
178views Education» more  CORR 2011»
12 years 11 months ago
Online Learning: Stochastic and Constrained Adversaries
Learning theory has largely focused on two main learning scenarios. The first is the classical statistical setting where instances are drawn i.i.d. from a fixed distribution and...
Alexander Rakhlin, Karthik Sridharan, Ambuj Tewari
SIGMOD
2004
ACM
150views Database» more  SIGMOD 2004»
14 years 7 months ago
When one Sample is not Enough: Improving Text Database Selection Using Shrinkage
Database selection is an important step when searching over large numbers of distributed text databases. The database selection task relies on statistical summaries of the databas...
Panagiotis G. Ipeirotis, Luis Gravano
TWC
2010
13 years 2 months ago
Splitting algorithms for fast relay selection: generalizations, analysis, and a unified view
Relay selection for cooperative communications promises significant performance improvements, and is, therefore, attracting, considerable attention. While several criteria have be...
Virag Shah, Neelesh B. Mehta, Raymond Yim