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» The Necessity of Combining Adaptation Methods
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SPEECH
2008
71views more  SPEECH 2008»
13 years 9 months ago
Unsupervised intra-speaker variability compensation based on Gestalt and model adaptation in speaker verification with telephone
In this paper an unsupervised compensation method based on Gestalt, ISVC, is proposed to address the problem of limited enrolling data and noise robustness in text-dependent speak...
Néstor Becerra Yoma, Claudio Garretó...
AI
2006
Springer
14 years 1 months ago
Adaptive Fraud Detection Using Benford's Law
Abstract. Adaptive Benford's Law [1] is a digital analysis technique that specifies the probabilistic distribution of digits for many commonly occurring phenomena, even for in...
Fletcher Lu, J. Efrim Boritz, H. Dominic Covvey
ICDM
2009
IEEE
199views Data Mining» more  ICDM 2009»
14 years 4 months ago
Active Learning with Adaptive Heterogeneous Ensembles
—One common approach to active learning is to iteratively train a single classifier by choosing data points based on its uncertainty, but it is nontrivial to design uncertainty ...
Zhenyu Lu, Xindong Wu, Josh Bongard
ICPR
2010
IEEE
14 years 2 months ago
Adaptive Feature and Score Level Fusion Strategy Using Genetic Algorithms
Classifier fusion is considered as one of the best strategies for improving performances upon general purpose classification systems. On the other hand, fusion strategy space stro...
Wael Ben Soltana, Mohsen Ardabilian, Liming Chen, ...
FUZZIEEE
2007
IEEE
14 years 1 months ago
Ensembles of Fuzzy Classifiers
The use of bagging is explored to create an ensemble of fuzzy classifiers. The learning algorithm used was ANFIS (Adaptive Neuro-Fuzzy Inference Systems). We compare results from b...
Juana Canul-Reich, Larry Shoemaker, Lawrence O. Ha...