Expectation-Maximization
Operational Modal Analysis using Expectation Maximization Algorithm
... ABSTRACT: This paper presents a time-domain stochastic system identification method based on Maximum Likelihood Estimation and the Expectation Maximization algorithm. The effectiveness of this structural ...
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Maximum Likelihood Estimation of Modal Parameters in Structures Using the Expectation Maximization Algorithm
... This paper presents a time-domain stochastic system identification method based on Maximum Likelihood Estimation (MLE) with the Expectation Maximization (EM) algorithm. The effectiveness of this structural ...
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An approach to operational modal analysis using the expectation maximization algorithm
... • In structures, the value of the modal parameters is not known. Applying the SSI method we compute an estimate of the parameters in a least square sense. On the other hand, the estimat[r] ...
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Using the EM algorithm to estimate the state space model for OMAX
... This paper presents a time-domain stochastic system identification method based on Maximum Likelihood Estimation and the Expectation Maximization algorithm that is applied to the estimation of modal ...
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TítuloNew methodological contributions in time series clustering
... an Expectation-Maximization (EM) ...the expectation step (E-step) requires an innovative criterion to compute the posterior probabilities in order to attain interpretable solutions in the context of ...
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Counting malaria parasites with a two-stage EM based algorithm using crowsourced data
... The clicks or tags delivered by several annotators labeling an image are modeled as a robust finite mixture, and techniques based on the Expectation-Maximization (EM) algorithm are pr[r] ...
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Understanding gang recruitment through selective incentives: the case of Honduras
... While the economic selective incentives theory shows that individuals who join gangs have a clear and reasonable expectation to receive material benefits in exchange for participation; i[r] ...
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Implementation and validation of a self-consumption maximization energy management strategy in a Vanadium Redox Flow BIPV demonstrator
... The strategy tested in the demonstrator was the self-consumption maximization strategy. The main objective of this EMS is to maximize the consumption of PV energy produced locally in the building, hence avoiding ...
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Relationship between service quality, customer satisfaction and customer expectation in airline industry: A Review of the Literature
... According to Ranaweera and Prabhu (2003), customer satisfaction is now the key intermediary objective in service sector due to the benefits it brings to organizations. Customer satisfaction is important because it ...
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Medium range optimization of copper extraction planning under uncertainty in future copper prices
... the maximization of the Value-at-Risk and several variants of the Conditional Value-at-Risk, the maximization of the expected profit minus the weighted probability of having a “bad” scenario in the solution ...
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The mathematics teacher and curriculum change
... A recent tribute to the Adding It Up (NRC, 2001) publication was given by Keith Devlin (2008) in his column in the MAA Online newsletter and Web site. Discussing the knowledge and understanding of arithmetic that ...
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Optimal design of motion compensated diffusion gradient waveforms
... Synopsis (100/100 words): Diffusion-Weighted MRI (DW-MRI) often suffers from motion-related artifacts in organs that experience physiological motion. Importantly, organ motion during the application of diffusion ...
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economics,businessandmoralsentiments pdf
... It is, thus, important to see the role of complex business principles (not just profit maximization) and the influence of shared moral sentiments (rather than treating them to be irre[r] ...
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Shower approach in the simulation of ion scattering from solids
... that this approach provides the correct absolute value of the scattering yield: the expectation value for a certain energy- angular range is equal to that obtained in a direct simulatio[r] ...
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Power Control for Cooperative Dynamic Spectrum Access Networks with Diverse QoS Constraints
... Focus here is placed on peer-to-peer networks where users transmit over the same bandwidth both in single- and multi- channel settings. The co-channel interference present in such networks intimately couples individual ...
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Deterministic and Stochastic Profit Maximization Versions of the Economic Lot Scheduling Problem with Pricing Considerations Edición Única
... The Economic Lot Scheduling Problem ELSP is a well known problem, based on the single item Economic Production Quantity EPQ model, which focuses on scheduling the production of multiple [r] ...
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Pricing American put options under stochastic volatility using the Malliavin derivative
... The evaluation of American options is one of the most difficult problems in the option pricing literature. This problem should be of interest to both financial academics and traders. Comparatively to the European ...
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Exact computation of the expectation curves of the bit-flip mutation using landscapes theory
... Third, an interesting question that remains open is whether we can apply landscapes theory to analyze combinations of operators. For example, crossover followed by mutation. If this analysis were possible and provided a ...
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Fair bandwidth allocation algorithm for PONS based on network utility maximization
... A relevant contribution of this paper is the modeling for the first time of the upstream allocation problem in PONs as a NUM problem. By doing so, we also formally define the concept of a fair allocation of the excess ...
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Energy efficient maximization for wireless sensor networks
... In this paper, we propose to maximize energy efficiency in wireless sensor net- works using optimal packet length in terms of power management and channel coding.. The use of power manag[r] ...
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