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» Query Optimization Using Multiple SIP Strategies
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77
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ICASSP
2008
IEEE
15 years 7 months ago
Multiple kernel learning for speaker verification
Many speaker verification (SV) systems combine multiple classifiers using score-fusion to improve system performance. For SVM classifiers, an alternative strategy is to combine...
Chris Longworth, Mark J. F. Gales
97
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INFOCOM
2007
IEEE
15 years 6 months ago
Non-Cooperative Scheduling of Multiple Bag-of-Task Applications
Multiple applications that execute concurrently on heterogeneous platforms compete for CPU and network resources. In this paper we analyze the behavior of K non-cooperative schedu...
Arnaud Legrand, Corinne Touati
95
Voted
AAAI
2007
15 years 2 months ago
Combining Multiple Heuristics Online
We present black-box techniques for learning how to interleave the execution of multiple heuristics in order to improve average-case performance. In our model, a user is given a s...
Matthew J. Streeter, Daniel Golovin, Stephen F. Sm...
103
Voted
ESANN
2004
15 years 2 months ago
Evolutionary tuning of multiple SVM parameters
The problem of model selection for support vector machines (SVMs) is considered. We propose an evolutionary approach to determine multiple SVM hyperparameters: The covariance matr...
Frauke Friedrichs, Christian Igel
DASFAA
2010
IEEE
190views Database» more  DASFAA 2010»
15 years 4 months ago
k-Selection Query over Uncertain Data
This paper studies a new query on uncertain data, called k-selection query. Given an uncertain dataset of N objects, where each object is associated with a preference score and a p...
Xingjie Liu, Mao Ye, Jianliang Xu, Yuan Tian, Wang...