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Note that the aforementioned methods use speaker models for sequential grouping, or to group temporally disjoint speech regions, and thus are not completely unsupervised.
Besides, one of the most appealing features is the ease of programming, adopting well-known programming models for sequential and parallel implementations.
MDP, also referred to as stochastic dynamic programs or stochastic control problems, are models for sequential decision making when outcomes are uncertain.
As addressed in the main text, these mechanisms remain poorly understood, although multiple within-host models for sequential waves of parasitaemia have been developed (Frank, 1999; Recker et al., 2004; Frank and Barbour, 2006).
Yang and Land [ 17, 28] developed methodologies of hierarchical Age-Period-Cohort models for sequential cross-sectional surveys, and Yang [ 29] also applied that methodology to a dataset collected in the United States.
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A theoretical model for sequential multipoint sensor is developed.
For example, [5] find conditions on the connectivity scheme of the generalised Lotka-Volterra model to guarantee the existence and structural robustness of a heteroclinic cycle in the system, [6] consider generalised "heteroclinic channels", [7] use them as a model for sequential memory and [8] suggest that they may be used to describe binding problems.
We examine this phenomenon from a theoretical standpoint using a mathematical model for sequential-step immunoassays in the presence of interferent.
Little new insight is gained by looking at the model predictions for sequential infections.
As described in the Introduction, we modeled SAT for sequential movements based on past work [22] [27] for single movements.
The optimal human motion model constitutes the underlying state process model for the sequential Bayesian estimator, and needs to be included in the estimator (e.g., PF).
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