Joint angle and delay estimation for GNSS multipath signals based on multiple sparse Bayesian Learning

Chang, Ning; Wang, Wenjie; Hong, Xi; López-Salcedo, José A.; Seco‐Granados, Gonzalo

doi:10.1007/s10291-020-01072-0

Cited by 6 publications

(1 citation statement)

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“…It can fully reflect people's real emotion, express people's emotion and life, and stimulate the emotional resonance of its listeners. Literature [19], through the big data analysis method, shows that most students have a certain sense of exclusion from theoretical teaching. Teachers should deeply interpret the content of music teaching through reasonable curriculum design, formulate scientific teaching objectives, and use the vividness of activities to carry out music teaching.…”

Section: Related Workmentioning

confidence: 99%

Research on Moral Education Function of Music Art in College Students Based on Bayesian Learning Algorithm

Du²,

Yanfeng

2022

Security and Communication Networks

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While paying attention to students’ acquisition of knowledge, we should also pay attention to students’ ideological and moral education. Bayesian network is a probabilistic graphical model that was developed in the 1980s. Therefore, it is urgent to establish the correct outlook on life and values of the motherland in the future. Music is one of the main categories of aesthetic education, which not only plays a role in cultivating students’ talents and skills, but also has the function of moral education, so it has its special teaching position. It provides the means of knowledge representation, reasoning, and learning in uncertain environment. Based on Bayesian learning algorithm, this paper studies the moral education function of music art in college students. Bayesian network can effectively carry out multivariate joint prediction, causal reasoning, expression of uncertain knowledge, pattern recognition, image processing, and causal data mining. Among them, the method based on score search regards structural learning as a combinatorial optimization problem, and score function and search method are two important factors that affect the learning effect.

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Section: Related Workmentioning

confidence: 99%