Machine Intelligence Mixture of Experts and Bayesian Networks

The Art and Science of Machine Intelligence ◽

10.1007/978-3-030-18496-4_8 ◽

2019 ◽

pp. 211-248

Author(s):

Walker H. Land ◽

J. David Schaffer

Keyword(s):

Bayesian Networks ◽

Machine Intelligence ◽

Mixture Of Experts

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Investigating Nonlinearities With Bayesian Networks

PsycEXTRA Dataset ◽

10.1037/e340982004-001 ◽

2003 ◽

Author(s):

Petri Nokelainen

Keyword(s):

Bayesian Networks

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Machine intelligence sports as research programs

PARADIGMI ◽

10.3280/para2015-003010 ◽

2016 ◽

pp. 163-177

Author(s):

Guglielmo Tamburrini

Keyword(s):

Machine Intelligence ◽

Research Programs

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ON THE UNIVERSALITY OF BAYESIAN NETWORKS IN THE CONTEXT OF DATA INDEPENDENCE

Философия науки ◽

10.15372/ps20170404 ◽

2017 ◽

Keyword(s):

Bayesian Networks ◽

Data Independence

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A complex mechanical system importance calculation method based on discrete-time Bayesian networks

Recent Developments on Reliability, Maintenance and Safety ◽

10.2495/qr2mse140401 ◽

2015 ◽

Author(s):

Y. K. Gu

Keyword(s):

Bayesian Networks ◽

Mechanical System ◽

Discrete Time ◽

Calculation Method ◽

Complex Mechanical System

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Machine Intelligence and Knowledge Engineering for Robotic Applications

10.1007/978-3-642-87387-4 ◽

1987 ◽

Keyword(s):

Knowledge Engineering ◽

Machine Intelligence ◽

Robotic Applications

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Faculty Opinions recommendation of A Bayesian networks approach for predicting protein-protein interactions from genomic data.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.1016965.201724 ◽

2004 ◽

Author(s):

Rolf Apweiler

Keyword(s):

Bayesian Networks ◽

Protein Interactions ◽

Genomic Data ◽

Protein Protein Interactions

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Faculty Opinions recommendation of Use of transcriptomic data to inform biophysical models via Bayesian networks.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.738632599.793578292 ◽

2020 ◽

Author(s):

Bertrand Muller

Keyword(s):

Bayesian Networks ◽

Transcriptomic Data ◽

Biophysical Models

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Bayesian Networks Based Reliability Analysis of Phased-Mission Systems

Chinese Journal of Computers ◽

10.3724/sp.j.1016.2008.01814 ◽

2009 ◽

Vol 31 (10) ◽

pp. 1814-1825 ◽

Author(s):

Dong LIU ◽

Chun-Yuan ZHANG ◽

Wei-Yan XING ◽

Rui LI

Keyword(s):

Bayesian Networks ◽

Reliability Analysis

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Machine Intelligence. Part 2. Biological Foundations

10.21236/ada227180 ◽

1990 ◽

Author(s):

Raymond Scanlon ◽

Mark Johnson

Keyword(s):

Machine Intelligence

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A Universal Approximation Theorem for Gaussian-Gated Mixture of Experts Models

SSRN Electronic Journal ◽

10.2139/ssrn.2946964 ◽

2017 ◽

Author(s):

Hien Nguyen

Keyword(s):

Approximation Theorem ◽

Universal Approximation ◽

Mixture Of Experts

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