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ICPR
2010
IEEE
15 years 1 months ago
Boolean Combination of Classifiers in the ROC Space
Using Boolean AND and OR functions to combine the responses of multiple one- or two-class classifiers in the ROC space may significantly improve performance of a detection system o...
Wael Khreich, Eric Granger, Ali Miri, R. Sabourin
LREC
2010
148views Education» more  LREC 2010»
14 years 11 months ago
POS Multi-tagging Based on Combined Models
In the POS tagging task, there are two kinds of statistical models: one is generative model, such as the HMM, the others are discriminative models, such as the Maximum Entropy Mod...
Yan Zhao, Gertjan van Noord
TASLP
2008
148views more  TASLP 2008»
14 years 9 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
76
Voted
EWCBR
2006
Springer
15 years 1 months ago
Combining Multiple Similarity Metrics Using a Multicriteria Approach
The design of a CBR system involves the use of similarity metrics. For many applications, various functions can be adopted to compare case features and to aggregate them into a glo...
Luc Lamontagne, Irène Abi-Zeid
76
Voted
ESEM
2008
ACM
14 years 11 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