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» Genetic Algorithms for Component Analysis
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TNN
2010
174views Management» more  TNN 2010»
14 years 6 months ago
Equivalences between neural-autoregressive time series models and fuzzy systems
Soft computing (SC) emerged as an integrating framework for a number of techniques that could complement one another quite well (artificial neural networks, fuzzy systems, evolutio...
José Luis Aznarte, José Manuel Ben&i...
ICASSP
2011
IEEE
14 years 3 months ago
Maximum likelihood ICA of quaternion Gaussian vectors
This work considers the independent component analysis (ICA) of quaternion random vectors. In particular, we focus on the Gaussian case, and therefore the ICA problem is solved by...
Javier Vía, Daniel P. Palomar, Luis Vielva,...
ICASSP
2011
IEEE
14 years 3 months ago
Evaluating music sequence models through missing data
Building models of the structure in musical signals raises the question of how to evaluate and compare different modeling approaches. One possibility is to use the model to impute...
Thierry Bertin-Mahieux, Graham Grindlay, Ron J. We...
CIKM
2011
Springer
13 years 11 months ago
Fact-based question decomposition for candidate answer re-ranking
Factoid questions often contain one or more assertions (facts) about their answers. However, existing question-answering (QA) systems have not investigated how the multiple facts ...
Aditya Kalyanpur, Siddharth Patwardhan, Branimir B...
ICA
2012
Springer
13 years 7 months ago
Online PLCA for Real-Time Semi-supervised Source Separation
Non-negative spectrogram factorization algorithms such as probabilistic latent component analysis (PLCA) have been shown to be quite powerful for source separation. When training d...
Zhiyao Duan, Gautham J. Mysore, Paris Smaragdis