Algorithms For the Extended Models
Estimating Markov-Switching ARMA Models with Extended Algorithms of Hamilton
... Define bias as the average estimated values minus the corresponding true parameter. Tables 1 and 2 show that the performance of the HG algorithm is not well, because the bias from estimating θ 1 is sizable and cannot be ...
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Extended Fuzzy Clustering Algorithms
... fuzzy models from ...are extended to hypervolumes whose size is determined automatically from the data being ...c-means algorithms, and the resulting extended algorithms are ...new ...
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Data Analysis: Models and Algorithms
... analysis algorithms is the cluster identification algorithm presented in Kusiak ...the extended cluster identification algorithm, is demonstrated ...
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Models and Algorithms for Comparative Genomics
... exact algorithms and heuristics have been proposed for these edit distance problems in the presence of duplicate ...heuristic algorithms are given [37]. Later, their method was extended for a model ...
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Timetable Information: Models and Algorithms
... the models for the solution of realistic versions of optimization problems in the single- criterion case, the performance of the two approaches is almost ...be extended to deal with dynamic changes of the ...
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Deep Extended Hazard Models for Survival Analysis
... [35] J. D. Kalbfleisch and R. L. Prentice. The Statistical Analysis of Failure Time Data. John Wiley & Sons, 2011. [36] S. Kalmady, W. Sun, J. Ezekowitz, N. Fine, J. Howlett, A. Savu, R. Greiner, and P. Kaul. Improving ...
Multivariate Models and Algorithms for Systems Biology
... work methods can be translated in terms of gene set based learning of signal transduction events. As mentioned above, gene set based approaches benefit from incorporating higher order interaction mechanisms in a more ...
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Models and Algorithms for Sustainable Journey Planning
... Very recently, in parallel to our research, several approaches tackling the inter- modal journey planning problem have emerged. This is a sign that this problem has become a significant topic of current importance. To ...
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Two Second Order Nonlinear Extended Kalman Particle Filter Algorithms
... To this end, this paper will give two Kalman particle filter algorithms for nonlinear state-space models. One is based on second-order Taylor expansion of structural functions of nonlinear system (SEKPF), ...
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Extended stochastic gradient identification algorithms for Hammerstein–Wiener ARMAX systems
... Hammerstein models and Wiener models ...prediction-error algorithms as well as singular value decomposition to identify the nonlinear static gain of the Hammerstein model by using a set of data [6], ...
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Extended Poisson–Tweedie:Properties and regression models for count data
... these models and then choose the best fit by using some measures of goodness-of-fit, such as the Akaike or Bayesian information ...different models for the analysis of data sets related to ionizing ...of ...
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Extended gcd algorithms
... an extended gcd algorithm, the Kannan- Bachem algorithm is a variant of the recursive gcd and the multipliers it produces are quite poor compared to the optimal ...for extended gcd calculation but also for ...
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On deflations in extended QR algorithms
... These matrices have random complex entries with real and imaginary parts between 0 and 1. We choose a random zigzag shape for the rotators, where the direction is changed with a probability of 30%. The MATLAB function ...
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EmbeddedSoftwareinNetworkProcessors- Models and Algorithms
... The objective of our scheduling algorithm is multi-fold: i to guarantee that all real-time packets meet their associated deadlines, ii that the non-real-time packets experience the minim[r] ...
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Extended Bradley-Terry Models
... Bradley-Terry models Implementation in R: The BradleyTerry2 package Model Specification Model specifiation is controlled by four arguments to BTm() outcome a binomial response as accepted by ...
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Algorithms for Extended Galois Field Generation and Calculation
... 2 Faculty of Computer Systems and Control, Technical University of Sofia, Bulgaria Abstract The paper aims to suggest algorithms for Extended Galois Field generation and calculation. The algorithm analysis ...
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Algorithms and Models for Genome Biology
... variable models are one of the cornerstones of machine ...Such models are useful for exploratory analysis and visualization, for building density models of data, and for providing features that can ...
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Decomposition Models of Parallel Algorithms
... To cite this article: Michal Hanuliak, Juraj Hanuliak. Decomposition Models of Parallel Algorithms. American Journal of Networks and Communications. Special Issue: Parallel Computer and Parallel ...
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Distributed Algorithms for Topic Models
... distributed algorithms for two widely-used topic models, namely the Latent Dirichlet Allocation (LDA) model, and the Hierarchical Dirichet Process (HDP) ...distributed algorithms the data is ...
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Extended Translation Models in Phrase based Decoding
... 6 Discussion We have integrated two variants of a novel ex- tended translation model into a state-of-the-art phrase-based decoder. The ETM captures lexical and reordering context beyond phrase boundaries in both the ...
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