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Hidden variable theory

Known as: Hidden Variables, God does not play dice, Hidden-variable theories 
Historically, in physics, hidden variable theories were espoused by some physicists who argued that the state of a physical system, as formulated by… 
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Related topics

Related topics

38 relations
Action at a distanceBell stateBell test experimentsBell's theorem

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2014
2014
Building Efficiency and Sustainability in the Tropics ( SinBerBEST ) Title Low-cost coarse airborne particulate matter sensing for indoor occupancy detection
In the energy-efficient smart building, occupancy detection and localization is an area of increasing interest, as services, such… 
2013
2013
Zero resource spoken audio corpus analysis
Zero-resource speech processing involves the automatic analysis of a collection of speech data in a completely unsupervised… 
2011
2011
An Expectation Maximization Algorithm for Probabilistic Logic Programs
Recently much work in Machine Learning has concentrated on representation languages able to combine logic and probability… 
Highly Cited
2011
Highly Cited
2011
Modeling the joint density of two images under a variety of transformations
We describe a generative model of the relationship between two images. The model is defined as a factored three-way Boltzmann… 
2009
2009
Upper bound for variational free energy of Bayesian networks
In recent years, variational Bayesian learning has been used as an approximation of Bayesian learning. In spite of the… 
Highly Cited
2006
Highly Cited
2006
Joint end-to-end loss-delay hidden Markov model for periodic UDP traffic over the Internet
Performance of real-time applications on network communication channels is strongly related to losses and temporal delays… 
2006
2006
Estimation of linear, non-gaussian causal models in the presence of confounding latent variables
The estimation of linear causal models (also known as structural equation models) from data is a well-known problem which has… 
2002
2002
The Information Bottleneck EM Algorithm
Learning with hidden variables is a central challenge in probabilistic graphical models that has important implications for many… 
2002
2002
A Nonlinear Observation Model for Removing Noise from Corrupted Speech Log Mel-Spectral Energies
In this paper we present a new statistical model, which describes the corruption to speech recognition Mel-frequency spectral… 
1998
1998
Fisher Scoring and a Mixture of Modes Approach for Approximate Inference and Learning in Nonlinear State Space Models
We present Monte-Carlo generalized EM equations for learning in nonlinear state space models. The difficulties lie in the Monte… 
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