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» Iterated importance sampling in missing data problems
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ICDM
2007
IEEE
166views Data Mining» more  ICDM 2007»
15 years 5 months ago
Mining Statistical Information of Frequent Fault-Tolerant Patterns in Transactional Databases
Constraints applied on classic frequent patterns are too strict and may cause interesting patterns to be missed. Hence, researchers have proposed to mine a more relaxed version of...
Ardian Kristanto Poernomo, Vivekanand Gopalkrishna...
DELTA
2004
IEEE
15 years 2 months ago
Static Scheduling of Monoprocessor Real-Time Systems composed of Hard and Soft Tasks
In this report we address the problem of static scheduling of realtime systems that include both hard and soft tasks. We consider systems in which both hard and soft tasks are per...
Luis Alejandro Cortés, Petru Eles, Zebo Pen...
PODS
2006
ACM
134views Database» more  PODS 2006»
15 years 11 months ago
Approximate quantiles and the order of the stream
Recently, there has been an increased focus on modeling uncertainty by distributions. Suppose we wish to compute a function of a stream whose elements are samples drawn independen...
Sudipto Guha, Andrew McGregor
VLDB
2004
ACM
134views Database» more  VLDB 2004»
15 years 4 months ago
Memory-Limited Execution of Windowed Stream Joins
We address the problem of computing approximate answers to continuous sliding-window joins over data streams when the available memory may be insufficient to keep the entire join...
Utkarsh Srivastava, Jennifer Widom
JMLR
2010
140views more  JMLR 2010»
14 years 5 months ago
Learning Non-Stationary Dynamic Bayesian Networks
Learning dynamic Bayesian network structures provides a principled mechanism for identifying conditional dependencies in time-series data. An important assumption of traditional D...
Joshua W. Robinson, Alexander J. Hartemink