Results 21 to 30 of about 684,507 (282)
Analogy-Based Approaches to Improve Software Project Effort Estimation Accuracy
Journal of Intelligent Systems, 2019 In the discipline of software development, effort estimation renders a pivotal role. For the successful development of the project, an unambiguous estimation is necessitated.
Resmi V, Vijayalakshmi S
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Determination of Load Equivalency Factors by Statistical Analysis of Weigh-In-Motion Data
The Baltic Journal of Road and Bridge Engineering, 2016 The load equivalency factors for pavement design currently in use by the Hungarian standard have been developed using Weigh-in-Motion data obtained during the first few years of operations after installing some 30 measuring sites in Hungary in 1996.
Zoltán Soós, Csaba Tóth, Dávid Bóka
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Evidential-EM Algorithm Applied to Progressively Censored Observations [PDF]
, 2014 Evidential-EM (E2M) algorithm is an effective approach for computing maximum likelihood estimations under finite mixture models, especially when there is uncertain information about data.
A.P. Dempster +5 more
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On the Estimation of Nonrandom Signal Coefficients from Jittered Samples [PDF]
, 2010 This paper examines the problem of estimating the parameters of a bandlimited signal from samples corrupted by random jitter (timing noise) and additive iid Gaussian noise, where the signal lies in the span of a finite basis.
Goyal, Vivek K, Weller, Daniel S.
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Classical simulation of infinite-size quantum lattice systems in two spatial dimensions [PDF]
, 2008 We present an algorithm to simulate two-dimensional quantum lattice systems in the thermodynamic limit. Our approach builds on the {\em projected entangled-pair state} algorithm for finite lattice systems [F. Verstraete and J.I.
F. Verstraete +5 more
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Spatially multi-scale dynamic factor modeling via sparse estimation
International Journal of Mathematics for Industry, 2019 In many spatio-temporal data, their spatial variations have inherent global and local structures. The spatially continuous dynamic factor model (SCDFM) decomposes the spatio-temporal data into a small number of spatial and temporal variations, where the ...
Takamitsu Araki, Shotaro Akaho
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EM algorithms without missing data [PDF]
Statistical Methods in Medical Research, 1997 Most problems in computational statistics involve optimization of an objective function such as a loglikelihood, a sum of squares, or a log posterior function. The EM algorithm is one of the most effective algorithms for maximization because it iteratively transfers maximization from a complex function to a simple, surrogate function.
Becker, Mark +2 more
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Semi-Parametric Joint Modeling of Survival and Longitudinal Data: The R Package JSM
Journal of Statistical Software, 2020 This paper is devoted to the R package JSM which performs joint statistical modeling of survival and longitudinal data. In biomedical studies it has been increasingly common to collect both baseline and longitudinal covariates along with a possibly ...
Cong Xu +2 more
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Parameter Learning of Logic Programs for Symbolic-Statistical Modeling
, 2011 We propose a logical/mathematical framework for statistical parameter learning of parameterized logic programs, i.e. definite clause programs containing probabilistic facts with a parameterized distribution.
Kameya, Y., Sato, T.
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SGA based symbol detection and EM channel estimation for MIMO systems [PDF]
, 2006 This paper investigates iterative channel estimation and symbol detection for spatial multiplexing multiple input multiple output (MIMO) systems with frequency flat block fading channels using the expectation-maximization (EM) algorithm.
Andrieu, Christophe +3 more
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