安抚 发表于 2025-3-30 08:33:06
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Probability Learning and Soft Quantization in Bayesian Factor Graphsd, via entropic priors, we show that soft quantization can be included in a probabilistically-consistent fashion in a factor graph that learns the mutual relationship among the variables involved. The framework is explained with reference the ”Tipper” example and the results of a Matlab simulation are included.extinguish 发表于 2025-3-30 16:44:34
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PM10 Forecasting Using Kernel Adaptive Filtering: An Italian Case Studyer we study the application of a Kernel Adaptive Filtering (KAF) algorithm to the problem of predicting PM. data in the Italian province of Ancona, and we show how this predictor is able to achieve a significant low error with the inclusion of chemical data correlated with the PM. such as NO..固定某物 发表于 2025-3-31 01:16:29
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978-3-642-44132-5Springer-Verlag Berlin Heidelberg 2013