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NN
2006
Springer
120views Neural Networks» more  NN 2006»
15 years 23 days ago
Computational intelligence in earth sciences and environmental applications: Issues and challenges
This paper introduces a generic theoretical framework for predictive learning, and relates it to data-driven and learning applications in earth and environmental sciences. The iss...
Vladimir Cherkassky, Vladimir M. Krasnopolsky, Dim...
ISIPTA
2003
IEEE
120views Mathematics» more  ISIPTA 2003»
15 years 6 months ago
Towards a Chaotic Probability Model for Frequentist Probability: The Univariate Case
We adopt the same mathematical model of a set M of probability measures as is central to the theory of coherent imprecise probability. However, we endow this model with an objecti...
Pablo Ignacio Fierens, Terrence L. Fine
WICOMM
2008
116views more  WICOMM 2008»
15 years 21 days ago
Arrayed MC-CDMA reception in space-time diffused multipath vector channels
Multi-Carrier Code Division Multiple Access (MC-CDMA) is a modulation scheme that combines the advantages of OFDM and CDMA to provide robustness against frequency selectivity in w...
Farrukh Rashid, Athanassios Manikas
98
Voted
INTERSPEECH
2010
14 years 7 months ago
Augmentation of adaptation data
Linear regression based speaker adaptation approaches can improve Automatic Speech Recognition (ASR) accuracy significantly for a target speaker. However, when the available adapt...
Ravichander Vipperla, Steve Renals, Joe Frankel
115
Voted
SADM
2010
141views more  SADM 2010»
14 years 7 months ago
A parametric mixture model for clustering multivariate binary data
: The traditional latent class analysis (LCA) uses a mixture model with binary responses on each subject that are independent conditional on cluster membership. However, in many pr...
Ajit C. Tamhane, Dingxi Qiu, Bruce E. Ankenman