Results 241 to 250 of about 118,373 (287)

Probabilistic inductive inference

Journal of the ACM, 1989
Inductive inference machines construct programs for total recursive functions given only example values of the functions. Probabilistic inductive inference machines are defined, and for various criteria of successful inference, it is asked whether a probabilistic inductive inference machine can infer larger classes ...
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Inductive Inference

2015
AbstractThis chapter focuses on case-based reasoning. It offers an axiomatic approach to the following problem: given a database of observations, how should different eventualities be ranked? The approach is complementary to the Bayesian approach at two levels: first, it may offer an alternative model of prediction, when the information available to ...
Itzhak Gilboa, Larry Samuelson, David Schmeidler   +2 more
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Inductive Inference: A New Approach

Science, 1958
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Inductive Inference 1.1

2022
Examined, the succinct expression of general solutions to inductive inference problems. Haskell types and type classes define the properties of various kinds of statistical model – distributions, function models and time-series. This is an application of Haskell which itself has applications, and is almost as general as Haskell's own area of ...
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Inductive inference

2018
According to a long tradition, an inductive inference is an inference from a premise of the form ‘all observed A are B’ to a conclusion of the form ‘all A are B‘. Such inferences are not deductively valid, that is, even if the premise is true it is possible that the conclusion is false, since unobserved As may differ from observed ones.
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Inductive inference from theory laden data

Journal of Philosophical Logic, 1992
Kevin T. Kelly and Clark Glymour. Inductive Inference from Theory-Laden Data.
Kelly, Kevin T., Glymour, Clark
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Committee-based inductive inference

Cybernetics and Systems Analysis, 1993
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gupal, A. M., Tsvetkov, A. M.
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Inductive Inference in the Limit

Erkenntnis, 1985
There is an enormous and interesting theoretical literature1 on inductive inference which remains largely unknown to philosophers of science, even though a philosopher, Hilary Putnam, may be said to have initiated it2. The work in this tradition concerns algorithms for inferring recursive functions from finite samples of their graphs.
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Inductive Inference

2011
Sanjay Jain, Frank Stephan
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Updating Inductive Inference

1987
Updating inductive inference cannot be performed in the classic fashion of using the conclusion of one stage as a prior for the next stage. Minimum cross-entropy inference, which uses the prior-posterior formalism, can lead to inconsistencies and violations of the positive value of information principle. A more acceptable updating procedure is based on
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