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» The case for crowd computing
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WWW
2011
ACM
14 years 6 months ago
Limiting the spread of misinformation in social networks
In this work, we study the notion of competing campaigns in a social network. By modeling the spread of influence in the presence of competing campaigns, we provide necessary too...
Ceren Budak, Divyakant Agrawal, Amr El Abbadi
123
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WWW
2011
ACM
14 years 6 months ago
Network bucket testing
Bucket testing, also known as A/B testing, is a practice that is widely used by on-line sites with large audiences: in a simple version of the methodology, one evaluates a new fea...
Lars Backstrom, Jon M. Kleinberg
JGS
2010
106views more  JGS 2010»
14 years 6 months ago
On vector autoregressive modeling in space and time
Despite the fact that it provides a potentially useful analytical tool, allowing for the joint modeling of dynamic interdependencies within a group of connected areas, until latel...
Valter Di Giacinto
ML
2010
ACM
163views Machine Learning» more  ML 2010»
14 years 6 months ago
Classification with guaranteed probability of error
We introduce a general-purpose learning machine that we call the Guaranteed Error Machine, or GEM, and two learning algorithms, a real GEM algorithm and an ideal GEM algorithm. Th...
Marco C. Campi
SADM
2010
196views more  SADM 2010»
14 years 6 months ago
Bayesian adaptive nearest neighbor
: The k nearest neighbor classification (k-NN) is a very simple and popular method for classification. However, it suffers from a major drawback, it assumes constant local class po...
Ruixin Guo, Sounak Chakraborty
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