Skip to main navigation
Skip to search
Skip to main content
Aston Research Explorer Home
Help & FAQ
Home
Research units
Profiles
Research Outputs
Datasets
Student theses
Activities
Press/Media
Prizes
Equipment
Search by expertise, name or affiliation
Bayesian invariant measurements of generalisation for continuous distributions
Huaiyu Zhu, Richard Rohwer
Aston University
Research output
:
Preprint or Working paper
›
Technical report
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Bayesian invariant measurements of generalisation for continuous distributions'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Continuous Distribution
100%
Invariance Measurement
100%
Loss Function
66%
Learning Rule
66%
Optimal Estimator
66%
Information Divergence
33%
Discrete-continuous
33%
Bayesian Decision Analysis
33%
Geometric Loss
33%
Internal Coherence
33%
Gaussian Distribution
33%
Neural Network Learning
33%
Variational Methods
33%
Theoretical Solution
33%
Invariance
33%
Decision Method
33%
Continuous Neural Networks
33%
Bayesian Framework
33%
ProB
33%
Mathematics
Continuous Distribution
100%
Bayesian
100%
Neural Network
66%
Optimal Estimator
66%
Loss Function
66%
Learning Rule
66%
Gaussian Distribution
33%
Bayesian Decision
33%
Variational Method
33%
Engineering
Optimal Estimator
100%
Loss Function
100%
Learning Rule
100%
Gaussians
50%
Technical Report
50%
Bayesian Framework
50%
Chemical Engineering
Neural Network
100%
Economics, Econometrics and Finance
Bayesian
100%