Rules of proof for maximal entropy inference
From MaRDI portal
Publication:2677855
DOI10.1016/j.ijar.2022.11.016OpenAlexW4310015220MaRDI QIDQ2677855
Publication date: 6 January 2023
Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ijar.2022.11.016
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A Mathematical Theory of Communication
- Deceptive updating and minimal information methods
- The principle of maximum entropy and a problem in probability kinematics
- Qualitative probabilistic inference under varied entropy levels
- Equivocation axiom on first order languages
- Axiomatic characterizations of information measures
- Probabilism, entropies and strictly proper scoring rules
- A note on the inevitability of maximum entropy
- On the applicability of maximum entropy to inexact reasoning
- Nonmonotonic reasoning, preferential models and cumulative logics
- What does a conditional knowledge base entail?
- A method for updating that justifies minimum cross entropy
- The logic of paradox
- Common sense and maximum entropy
- Dilation for sets of probabilities
- Nonmonotonic inference based on expectations
- Invariant equivocation
- In defense of the maximum entropy inference process
- A logic for reasoning about probabilities
- Probabilistic characterisation of models of first-order theories
- The entropy-limit (conjecture) for \(\Sigma_2\)-premisses
- Three ways of being non-material
- A triple uniqueness of the maximum entropy approach
- Towards the entropy-limit conjecture
- Concerning measures in first order calculi
- Non-monotonic reasoning from an evolution-theoretic perspective: Ontic, logical and cognitive foundations
- Probabilistic logics and probabilistic networks
- Lectures on Inductive Logic
- O IS NOT ENOUGH
- Objective Bayesian probabilistic logic
- A Note on the Least Informative Model of a Theory
- Axiomatic derivation of the principle of maximum entropy and the principle of minimum cross-entropy
- Proof systems for probabilistic uncertain reasoning
- An efficient algorithm to compute maximum entropy densities
- The Uncertain Reasoner's Companion
- Probability Theory
- Information and Inaccuracy
- Objective Bayesian Nets for Integrating Consistent Datasets
- THE LOGIC OF THE EVIDENTIAL CONDITIONAL
- Pure Inductive Logic
- Maximum Entropy Inference with Quantified Knowledge
- Efficient numerical approximation of maximum entropy estimates
- Elicitation of Personal Probabilities and Expectations
- ON FILLING-IN MISSING CONDITIONAL PROBABILITIES IN CAUSAL NETWORKS
- Conditionals in nonmonotonic reasoning and belief revision. Considering conditionals as agents
This page was built for publication: Rules of proof for maximal entropy inference