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150
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SSPR
2000
Springer
15 years 8 months ago
The Role of Combining Rules in Bagging and Boosting
To improve weak classifiers bagging and boosting could be used. These techniques are based on combining classifiers. Usually, a simple majority vote or a weighted majority vote are...
Marina Skurichina, Robert P. W. Duin
TASLP
2008
148views more  TASLP 2008»
15 years 4 months ago
Combining Spectral Representations for Large-Vocabulary Continuous Speech Recognition
In this paper we investigate the combination of complementary acoustic feature streams in large vocabulary continuous speech recognition (LVCSR). We have explored the use of acoust...
Giulia Garau, Steve Renals
180
Voted
SSC
2007
Springer
192views Cryptology» more  SSC 2007»
15 years 10 months ago
On Boolean Functions Which Are Bent and Negabent
Bent functions f : Fm 2 → F2 achieve largest distance to all linear functions. Equivalently, their spectrum with respect to the Hadamard-Walsh transform is flat (i.e. all spectr...
Matthew G. Parker, Alexander Pott
ESEM
2008
ACM
15 years 6 months ago
Reducing biases in individual software effort estimations: a combining approach
Software effort estimation techniques abound, each with its own set of advantages and disadvantages, and no one proves to be the single best answer. Combining estimating is an app...
Qi Li, Qing Wang, Ye Yang, Mingshu Li
124
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ECIR
2009
Springer
16 years 1 months ago
The Combination and Evaluation of Query Performance Prediction Methods
Abstract. In this paper, we examine a number of newly applied methods for combining pre-retrieval query performance predictors in order to obtain a better prediction of the queryâ€...
Claudia Hauff, Leif Azzopardi, Djoerd Hiemstra