Marginal Likelihood Based Model Comparison in Fuzzy Bayesian Learning
نویسندگان
چکیده
منابع مشابه
Marginal likelihood based model comparison in Fuzzy Bayesian Learning
In a recent paper [1] we introduced the Fuzzy Bayesian Learning (FBL) paradigm where expert opinions can be encoded in the form of fuzzy rule bases and the hyper-parameters of the fuzzy sets can be learned from data using a Bayesian approach. The present paper extends this work for selecting the most appropriate rule base among a set of competing alternatives, which best explains the data, by c...
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متن کاملDisTriB: Distributed Trust Management Model Based on Gossip Learning and Bayesian Networks in Collaborative Computing Systems
The interactions among peers in Peer-to-Peer systems as a distributed collaborative system are based on asynchronous and unreliable communications. Trust is an essential and facilitating component in these interactions specially in such uncertain environments. Various attacks are possible due to large-scale nature and openness of these systems that affects the trust. Peers has not enough inform...
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ژورنال
عنوان ژورنال: IEEE Transactions on Emerging Topics in Computational Intelligence
سال: 2020
ISSN: 2471-285X
DOI: 10.1109/tetci.2018.2868253