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Bayesian Rule Ontologies For XAI Classification and ...
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由 AK Panda 著作2022 — The shape of the rules controls how well the random-foam ontology performs in classification and regression. We found that a heterogenous ...
Bayesian Rule Ontologies For XAI Classification and ...
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由 AK Panda 著作2022 — Bump function rules performed better than Cauchy rules at classification while Cauchy rules performed better at regression. Gaussian rules performed best in ...
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Bayesian Rule Ontologies For XAI Classification and ...
ResearchGate
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ResearchGate
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The paper describes an algorithm allowing to raise accuracy of the Bayesian classifier due to optimization of its structure using the GMDH algorithm MULTI.
Bayesian Rule Ontologies For XAI Classification and ...
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2. Uniform Convergence of Probability Mixtures that Represent Combined Fuzzy Systems ; 3. A fuzzy random forest ; 4. Computer Age Statistical Inference.
Akash Kumar Panda
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Akash Kumar Panda, Bart Kosko: Bayesian Rule Ontologies For XAI Classification and Regression. ICMLA 2022: 168-175; 2021.
[PDF] Bayesian Rule Posteriors from a Rule Foam
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A rule foam converts a neural black-box classifier into a probabilistic rule-based ontology ... Bayesian Rule Ontologies For XAI Classification and Regression.
Exploiting Ontology to Build Bayesian Network
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AI Chat for scientific PDFs | SciSpace
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TL;DR: This paper has developed a set of rules and algorithms to translate an OWL taxonomy into a BN, and describes the implementation of BayesOWL framework ...
The Bayesian ontology reasoner is born! | Request PDF
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Bayesian ontology languages are a family of probabilistic ontology languages that allow to encode probabilistic information over the axioms of an ontology ...
Post-hoc vs ante-hoc explanations: xAI design guidelines ...
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由 CO Retzlaff 著作2024被引用 21 次 — Experiments showed that Bayesian rule lists have a predictive accuracy comparable to current and widely used algorithms, e.g. Support Vector Machines (SVM), ...
[PDF] Exploiting Ontology to Build Bayesian Network
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This paper proposes a generic method that allows deriving knowledge from ontology to enhance the learning process of BN and provides several steps to infer ...