Titlebook: Neural Nets and Surroundings; 22nd Italian Worksho Bruno Apolloni,Simone Bassis,Francesco Carlo Morab Book 2013 Springer-Verlag Berlin Heid

安撫

Magnitude

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

合唱團(tuán)

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

整潔漂亮

冷峻

978-3-642-44132-5Springer-Verlag Berlin Heidelberg 2013