314 citations · 2.8k across the 45 of their papers we have counts for
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stat.ML2020
Rule-based Bayesian regression
Themistoklis Botsas, Lachlan R. Mason, Indranil Pan
We introduce a novel rule-based approach for handling regression problems. The new methodology carries elements from two frameworks: (i) it provides information about the uncertain…
stat.ML2017
Marginal likelihood based model comparison in Fuzzy Bayesian Learning
Indranil Pan, Dirk Bester
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…
stat.ML2016★ 2 cited
Fuzzy Bayesian Learning
Indranil Pan, Dirk Bester
In this paper we propose a novel approach for learning from data using rule based fuzzy inference systems where the model parameters are estimated using Bayesian inference and Mark…