The randomness of the inferred parameters. A machine learning framework for computing confidence regions.-Reference-Cited by-同舟云学术

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The randomness of the inferred parameters. A machine learning framework for computing confidence regions.

Published:2018-07 Issue: Volume:453 Page:239-262
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Apolloni Bruno,Bassis Simone

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference49 articles.

1. The interpretation of improper prior distributions as limits of data dependent proper prior distributions;Akaike;Journal of the Royal Statistical Society. Series B,1980

2. Algorithmic inference of two-parameter gamma distribution;Apolloni;Communications in Statistics - Simulation and Computation,2009

3. Confidence about possible explanations;Apolloni;IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics,2011

4. The Puzzle of Granular Computing;Apolloni,2008

5. Algorithmic Inference in Machine Learning, 2nd Edition;Apolloni,2006

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1. Deep Learning of Markov Model-Based Machines for Determination of Better Treatment Option Decisions for Infertile Women;Reproductive Sciences;2020-01-14

2. Deep Learning of Markov Model Based Machines for Determination of Better Treatment Option Decisions for Infertile Women;2019-04-12

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