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RStan Associative Learning Models

2020
Associative learning models fit using Rstan for the manuscript Gorka et al. "Periaqueductal gray matter responses reflect negative prediction errors during the omission of aversive outcomes"
Gorka, Adam, Moraczewski, Dustin
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Association pattern language modeling

IEEE Transactions on Audio, Speech and Language Processing, 2006
Statistical n-gram language modeling is popular for speech recognition and many other applications. The conventional n-gram suffers from the insufficiency of modeling long-distance language dependencies. This paper presents a novel approach focusing on mining long distance word associations and incorporating these features into language models based on
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Modeling radiative association kinetics

International Journal of Mass Spectrometry and Ion Processes, 1997
Abstract New generic modeling results are shown for the radiative association of ions with neutrals. The approach used was based on the standard-hydrocarbon model of typical properties of ions and neutrals. A canonical phase space theory method was applied to calculate the kinetics with more confidence than previous RRKM-based results, and a ...
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Exploring and Modelling Association

2016
In this chapter, we analyse the ideas of association, correlation and regression. We also discuss the underlying concepts that serve to model statistical relationships between variables and extend functional dependence to random situations. After describing how these ideas are introduced in high-school curricula, we present two teaching situations. The
Carmen Batanero, Manfred Borovcnik
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Modelling association football scores

Statistica Neerlandica, 1982
Abstract  Previous authors have rejected the Poisson model for association football scores in favour of the Negative Binomial. This paper, however, investigates the Poisson model further. Parameters representing the teams' inherent attacking and defensive strengths are incorporated and the most appropriate model is found from a hierarchy of models ...
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Generalised Association Model

International Journal of Materials Research, 2000
Krull, H., Singh, R., Sommer, F.
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Associative Modeling and Programming

2002
he notion of associations is motivated and presented. This kind of association is seen as first class a concept in notations at both modeling and programming level. Among others the association support evolution of systems by adding descriptions and instantiations of associations to executing systems.
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Entropy Based Associative Model

2006
In this paper, an entropy based associative memory model will be proposed and applied to memory retrievals with an orthogonal learning model to compare with the conventional autoassociative model with a quadratic Lyapunov functionals. In the present approach, the updating dynamics will be constructed on the basis of the entropy minimization strategy ...
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