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Hidden variable
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51	Strange connections and the Parisian zigzag Retrocausality from T-symmetry and quantization Zigzags without paradox Is science safe? . Add to Reading List Source URL: prce.hu Language: English - Date: 2015-03-07 06:39:39 Quantum mechanics Albert Einstein EPR paradox Hidden variable theory Retrocausality Action at a distance Introduction to quantum mechanics Physics Quantum measurement Causality
52	Strange connections and the Parisian zigzag Retrocausality from T-symmetry and quantization Zigzags without paradox . Add to Reading List Source URL: prce.hu Language: English - Date: 2013-12-14 13:18:01 Quantum mechanics Albert Einstein EPR paradox Retrocausality Hidden variable theory Action at a distance Physics Quantum measurement Causality
53	Scalable, Updatable Predictive Models for Sequence Data Neeraj Koul, Ngot Bui, Vasant Honavar Artificial Intelligence Research Laboratory Dept. of Computer Science Iowa State University Ames, IA, USA. Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2011-01-31 12:01:44 Probability and statistics Hidden Markov model Variable-order Markov model String Linguistics Markov models Statistics Markov chain
54	Journal of Mathematical Psychology[removed]–12 Contents lists available at SciVerse ScienceDirect Journal of Mathematical Psychology journal homepage: www.elsevier.com/locate/jmp Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:21 Statistical models Stochastic processes Statistical inference Dirichlet process Mixture model Latent variable Bayes factor Bayesian inference Hidden Markov model Statistics Bayesian statistics Psychometrics
55	WORRY QUESTIONS FOR EVALUATING MEDIA REPORTS ABOUT OBSERVATIONAL STUDIES Source Who funded it? Who were the researchers? Do they work for a reputable organisation? Was there a hidden agenda? Have you found original rese Add to Reading List Source URL: new.censusatschool.org.nz Language: English - Date: 2012-12-10 17:32:54 Philosophy of science Design of experiments Analysis of variance Confounding Epidemiology Variable Causality Observation Randomized controlled trial Statistics Science Knowledge
56	2010 International Conference on Pattern Recognition Nonlinear mappings for generative kernels on latent variable models Anna Carli∗ , Manuele Bicego∗† , Sisto Baldo∗ and Vittorio Murino∗† ∗ Dipartimento d Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2012-06-26 09:41:00 Machine learning Statistical classification Linear algebra Generative model Fisher kernel Kernel Hidden Markov model Pattern recognition Nonlinear system Statistics Mathematics Algebra
57	Non-linear Generative Embeddings for Kernels on Latent Variable Models Anna Carli 1 , Manuele Bicego 1,2 , Sisto Baldo 1 , Vittorio Murino 1,2 1 Dept. of Computer Science, University of Verona, Strada le Grazie 15 – 37 Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2011-10-29 18:01:16 Machine learning Fisher kernel Information retrieval Kernel Hidden Markov model Support vector machine Linear map Linux kernel Pattern recognition Statistics Statistical classification Mathematics
58	The stuff the world is made of: physics and reality∗ Diederik Aerts Center Leo Apostel (CLEA), and Foundations of the Exact Sciences (FUND), Brussels Free University, Add to Reading List Source URL: www.vub.ac.be Language: English - Date: 2001-11-21 12:21:29 Interpretations of quantum mechanics De Broglie–Bohm theory Introduction to quantum mechanics Neutron interferometer EPR paradox Hidden variable theory Measurement problem Neutron Quantum potential Physics Quantum mechanics Quantum measurement
59	1 Deep Neural Networks for Acoustic Modeling in Speech Recognition Geoffrey Hinton, Li Deng, Dong Yu, George Dahl, Abdel-rahman Mohamed, Navdeep Jaitly, Andrew Senior, Vincent Vanhoucke, Patrick Nguyen, Tara Sainath, an Add to Reading List Source URL: static.googleusercontent.com Language: English - Date: 2012-10-26 02:52:04 Hidden Markov model Artificial neural network Boltzmann machine Generative model Feedforward neural network Speech recognition Backpropagation Expectation–maximization algorithm Latent variable Statistics Neural networks Machine learning
60	Comparing Probabilistic Models for Melodic Sequences Athina Spiliopoulou and Amos Storkey School of Informatics, University of Edinburgh, United Kingdom {a.spiliopoulou,a.storkey}@ed.ac.uk Abstract. Modelling the real w Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2012-04-26 12:53:52 Hidden Markov model Boltzmann machine Generative model Graphical model N-gram Markov model Gibbs sampling Latent variable Statistics Statistical models Probability

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