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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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Papers overview

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2015
2015
We generalize Pearl’s back-door criterion for directed acyclic graphs (DAGs) to more general types of graphs that describe Markov… 
2014
2014
Big data and Bayesian non-parametric modelling constitute two of the most important foci of modern machine learning research. In… 
2012
2012
Articulator phonetics and handwriting dysfunctions are frequent observations in Parkinson’s disease (PD). In this paper we make… 
2008
2008
We propose a new discriminative framework, namely Hidden Dynamic Conditional Random Fields (HDCRFs), for building probabilistic… 
2008
2008
Structured documents contain elements defined by the author(s) and annotations assigned by other people or processes. Structured… 
2007
2007
Non-verbal modalities such as gesture can improve processing of spontaneous spoken language. For example, similar hand gestures… 
2004
2004
Hidden Markov models have become the preferred technique for visual recognition of human gestures. However, the recognition rate… 
2004
2004
A new hidden variable theory is proposed, according to which particles follows definite trajectories, as in Bohmian Mechanics or… 
2002
2002
In this paper we present a new statistical model, which describes the corruption to speech recognition Mel-frequency spectral… 
2001
2001
The paper presents a data-driven approach to information extraction (viewed as template lling) using the structured language…