CORD
发表于 2025-3-23 12:17:35
https://doi.org/10.1007/978-3-0348-8484-6can be used to make inferences, predictions and decisions. Each model can be seen as a hypothesis, or explanation, which makes assertions about the quantities which are directly observable and those which can only be inferred from their effect on observable quantities.
责难
发表于 2025-3-23 15:33:30
https://doi.org/10.1007/978-3-0348-8484-6apping, the source distributions and the noise level are estimated from the data. Bayesian approach to learning avoids problems with overlearning which would otherwise be severe in unsupervised learning with flexible non-linear models.
轮流
发表于 2025-3-23 18:15:16
Advances in Independent Component Analysis978-1-4471-0443-8Series ISSN 1431-6854
露天历史剧
发表于 2025-3-23 22:41:25
Mark GirolamiA state-of-the-art overview with contributions from the most respected and innovative researchers in the field.Contains significantly more advanced, novel and up-to-date theory than any other volume a
BOGUS
发表于 2025-3-24 02:20:57
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Herd-Immunity
发表于 2025-3-24 07:41:43
Ribosomal genes and nucleolar morphologydependent component models where the components themselves are modelled as generalised autoregressive processes. The model is demonstrated on synthetic problems and EEG data. Much recent research in unsupervised learning builds on the idea of using generative models for modelling the pro
gusher
发表于 2025-3-24 11:23:06
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Cubicle
发表于 2025-3-24 18:23:31
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混沌
发表于 2025-3-24 21:12:24
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output
发表于 2025-3-24 23:50:44
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