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Hidden variable theory
Known as:
Hidden Variables
, God does not play dice
, Hidden-variable theories
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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 distance
Bell state
Bell test experiments
Bell's theorem
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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
D. Rim
,
A. Bayen
,
W. Nazaroff
,
C. Spanos
2014
Corpus ID: 3197325
In the energy-efficient smart building, occupancy detection and localization is an area of increasing interest, as services, such…
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2013
2013
Zero resource spoken audio corpus analysis
David F. Harwath
,
Timothy J. Hazen
,
James R. Glass
IEEE International Conference on Acoustics…
2013
Corpus ID: 8083047
Zero-resource speech processing involves the automatic analysis of a collection of speech data in a completely unsupervised…
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Highly Cited
2011
Highly Cited
2011
Modeling the joint density of two images under a variety of transformations
J. Susskind
,
Geoffrey E. Hinton
,
R. Memisevic
,
M. Pollefeys
Computer Vision and Pattern Recognition
2011
Corpus ID: 12998575
We describe a generative model of the relationship between two images. The model is defined as a factored three-way Boltzmann…
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2011
2011
An Elitism Strategy Based Genetic Algorithm for Streaming Pattern Discovery in Wireless Sensor Networks
Wei Cheng
,
Haoshan Shi
,
Xipeng Yin
,
Dong Li
IEEE Communications Letters
2011
Corpus ID: 12552515
This letter presents a pattern discovery algorithm for multi-streams mining in wireless sensor networks. The algorithm adapts…
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2008
2008
Social Network Mining with Nonparametric Relational Models
Zhao Xu
,
Volker Tresp
,
Achim Rettinger
,
K. Kersting
Social Network Mining and Analysis
2008
Corpus ID: 10245214
Statistical relational learning (SRL) provides effective techniques to analyze social network data with rich collections of…
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Highly Cited
2006
Highly Cited
2006
Joint end-to-end loss-delay hidden Markov model for periodic UDP traffic over the Internet
P. Rossi
,
G. Romano
,
F. Palmieri
,
G. Iannello
IEEE Transactions on Signal Processing
2006
Corpus ID: 10724063
Performance of real-time applications on network communication channels is strongly related to losses and temporal delays…
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2006
2006
Estimation of linear, non-gaussian causal models in the presence of confounding latent variables
P. Hoyer
,
Shohei Shimizu
,
Antti J. Kerminen
European Workshop on Probabilistic Graphical…
2006
Corpus ID: 1477699
The estimation of linear causal models (also known as structural equation models) from data is a well-known problem which has…
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2006
2006
Identification of chaotic systems with hidden variables (modified Bock’s algorithm)
B. Bezruchko
,
D. Smirnov
,
I. Sysoev
2006
Corpus ID: 120508353
2002
2002
The Information Bottleneck EM Algorithm
G. Elidan
,
N. Friedman
Conference on Uncertainty in Artificial…
2002
Corpus ID: 8403894
Learning with hidden variables is a central challenge in probabilistic graphical models that has important implications for many…
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2002
2002
A Nonlinear Observation Model for Removing Noise from Corrupted Speech Log Mel-Spectral Energies
J. Droppo
,
A. Acero
,
L. Deng
2002
Corpus ID: 5755230
In this paper we present a new statistical model, which describes the corruption to speech recognition Mel-frequency spectral…
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