In defense of the maximum entropy inference process
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Publication:1809364
DOI10.1016/S0888-613X(97)00014-5zbMath0939.68118MaRDI QIDQ1809364
Alena Vencovská, Jeffrey Bruce Paris
Publication date: 20 December 1999
Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)
Probability and inductive logic (03B48) Knowledge representation (68T30) Reasoning under uncertainty in the context of artificial intelligence (68T37) Foundations of probability theory (60A99) Measures of information, entropy (94A17)
Related Items (30)
Objective Bayesianism and the maximum entropy principle ⋮ A foundational approach to generalising the maximum entropy inference process to the multi-agent context ⋮ Lakatos's criticism of Carnapian inductive logic was mistaken ⋮ A triple uniqueness of the maximum entropy approach ⋮ Causal discovery and the problem of ignorance. An adaptive logic approach ⋮ Deceptive updating and minimal information methods ⋮ Objective Bayesian Nets for Integrating Consistent Datasets ⋮ Logical perspectives on the foundations of probability ⋮ Rules of proof for maximal entropy inference ⋮ Blending Bayesian and frequentist methods according to the precision of prior information with applications to hypothesis testing ⋮ On the measurability of knowledge acquisition and query processing. ⋮ Tracking probabilistic truths: a logic for statistical learning ⋮ Inference after checking multiple Bayesian models for data conflict and applications to mitigating the influence of rejected priors ⋮ Inference Processes for Quantified Predicate Knowledge ⋮ Invariant equivocation ⋮ Determining maximal entropy functions for objective Bayesian inductive logic ⋮ Unnamed Item ⋮ A Verified AsmL Implementation of Belief Revision ⋮ Explaining default intuitions using maximum entropy. ⋮ Defeasible conditionalization ⋮ REWARD VERSUS RISK IN UNCERTAIN INFERENCE: THEOREMS AND SIMULATIONS ⋮ An overview of algorithmic approaches to compute optimum entropy distributions in the expert system shell MECore (extended version) ⋮ Equivocation axiom on first order languages ⋮ Achieving parametric uniformity for knowledge bases in a relational probabilistic conditional logic with maximum entropy semantics ⋮ The entropy-limit (conjecture) for \(\Sigma_2\)-premisses ⋮ Aggregating incoherent agents who disagree ⋮ Experimental investigation of a maximum entropy assumption for acceleration terms within a poly-disperse moment framework ⋮ ON THE STRUCTURE OF PROBABILITY FUNCTIONS IN THE NATURAL WORLD ⋮ Rationality as conformity ⋮ Combining probabilistic logic programming with the power of maximum entropy
Cites Work
- A note on the inevitability of maximum entropy
- Why least squares and maximum entropy? An axiomatic approach to inference for linear inverse problems
- Axiomatic derivation of the principle of maximum entropy and the principle of minimum cross-entropy
- The Uncertain Reasoner's Companion
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