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» Improved Algorithms for the k Maximum-Sums Problems
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FM
2009
Springer
157views Formal Methods» more  FM 2009»
15 years 4 months ago
Symbolic Predictive Analysis for Concurrent Programs
Abstract. Predictive analysis aims at detecting concurrency errors during runtime by monitoring a concrete execution trace of a concurrent program. In recent years, various models ...
Chao Wang, Sudipta Kundu, Malay K. Ganai, Aarti Gu...
ICDM
2006
IEEE
145views Data Mining» more  ICDM 2006»
15 years 3 months ago
Stability Region Based Expectation Maximization for Model-based Clustering
In spite of the initialization problem, the ExpectationMaximization (EM) algorithm is widely used for estimating the parameters in several data mining related tasks. Most popular ...
Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratn...
JCIT
2008
124views more  JCIT 2008»
14 years 9 months ago
A Knowledge based Approach Using Fuzzy Inference Rules for Vowel Recognition
Automatic speech recognition by machine is one of the most efficient methods for man-machine communications. Because speech waveform is nonlinear and variant. Speech recognition r...
Hrudaya K. Tripathy, B. K. Tripathy, Pradip K. Das
CIE
2007
Springer
15 years 4 months ago
The Complexity Ecology of Parameters: An Illustration Using Bounded Max Leaf Number
In the framework of parameterized complexity, exploring how one parameter affects the complexity of a different parameterized (or unparameterized problem) is of general interest....
Michael R. Fellows, Frances A. Rosamond
PODS
2009
ACM
110views Database» more  PODS 2009»
15 years 10 months ago
Optimal tracking of distributed heavy hitters and quantiles
We consider the the problem of tracking heavy hitters and quantiles in the distributed streaming model. The heavy hitters and quantiles are two important statistics for characteri...
Ke Yi, Qin Zhang