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VALUETOOLS
2006
ACM
14 years 1 months ago
Splitting with weight windows to control the likelihood ratio in importance sampling
Importance sampling (IS) is the most widely used efficiency improvement method for rare-event simulation. When estimating the probability of a rare event, the IS estimator is the ...
Pierre L'Ecuyer, Bruno Tuffin
NIPS
1992
13 years 9 months ago
Hidden Markov Model} Induction by Bayesian Model Merging
This paper describes a technique for learning both the number of states and the topologyof Hidden Markov Models from examples. The inductionprocess starts with the most specific m...
Andreas Stolcke, Stephen M. Omohundro
PODS
2010
ACM
207views Database» more  PODS 2010»
14 years 24 days ago
Understanding cardinality estimation using entropy maximization
Cardinality estimation is the problem of estimating the number of tuples returned by a query; it is a fundamentally important task in data management, used in query optimization, ...
Christopher Ré, Dan Suciu
WWW
2007
ACM
14 years 8 months ago
Predicting clicks: estimating the click-through rate for new ads
Search engine advertising has become a significant element of the Web browsing experience. Choosing the right ads for the query and the order in which they are displayed greatly a...
Matthew Richardson, Ewa Dominowska, Robert Ragno
SAC
2008
ACM
13 years 7 months ago
Error estimation in wireless sensor networks
We present an analogy between the operation of a Wireless Sensor Network and the sampling and reconstruction of a signal. We measure the impact of three factors on the quality of ...
Alejandro César Frery, Heitor Ramos, Jos&ea...