1183 search results - page 179 / 237 » Learning Process Models with Missing Data |
126
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MICAI
2004
Springer
15 years 6 months ago
2004
Springer
Abstract. Conventional artificial neural network models lack many physiological properties of the neuron. Current learning algorithms are more concerned to computational performanc...
107
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KDD
2004
ACM
16 years 1 months ago
2004
ACM
Astronomy increasingly faces the issue of massive datasets. For instance, the Sloan Digital Sky Survey (SDSS) has so far generated tens of millions of images of distant galaxies, ...
136
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ICASSP
2009
IEEE
14 years 11 months ago
2009
IEEE
Nonnegative matrix tri-factorization (NMTF) is a 3-factor decomposition of a nonnegative data matrix, X USV , where factor matrices, U, S, and V , are restricted to be nonnegativ...
156
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EMNLP
2010
14 years 11 months ago
2010
In this paper, we develop multilingual supervised latent Dirichlet allocation (MLSLDA), a probabilistic generative model that allows insights gleaned from one language's data...
106
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IJAR
2002
15 years 1 months ago
2002
Fuzzy model-based adaptive control, unlike traditional fuzzy control, extracts expert knowledge from data by using model identification techniques. In this paper, we propose an an...