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1 ntication and encryption is done ex situ and a posteriori.
2 ctical identifiability of the proposed model a posteriori.
3 variants with large effect size are selected a posteriori.
4  accurate by incorporating experimental data a posteriori.
5                Here, the former is addressed a posteriori.
6 that it is advantageous to perform filtering a posteriori.
7 get gene profile and to infer the logic gate a posteriori.
8 ation (3DOSEM) and the 3-dimensional maximum a posteriori (3DMAP).
9                                          The a posteriori accuracy of the predictions suggests the me
10                                Indeed, in an a posteriori analysis, the normal weightlifters proved c
11                                          The a posteriori and in situ approach is general; it can be
12 ility to over-fitting by adopting a Bayesian a posteriori approach based on a Laplacian prior in para
13                    Unlike many other maximum a posteriori approaches, our method offers highly interp
14                           Using a priori and a posteriori approaches, we constructed dietary patterns
15               Secondary end points included: a posteriori assessment of the accuracy of the infectiou
16                 The application of a maximum-a-posteriori Bayesian inference method identified a line
17 to predefined criteria, which were validated a posteriori by an independent adjudication committee.
18 e chain, a prediction that could be verified a posteriori by the high-resolution crystal structure of
19                     This work directly links a posteriori CFD models to postinjection crystallization
20                          Furthermore, we can a posteriori check whether the autonomy assumptions are
21                                              A posteriori comparisons indicate that, in the first-cen
22                                              A posteriori-corrected discriminant analysis was able to
23                         Our straightforward "a posteriori" correction yields clean linear images as c
24 ods (equal weights, literature review-based, a posteriori data-based, and weights based on Bayesian a
25 s integration, we used nonparametric maximum a posteriori decoding to compare the ability of neurons
26 association of habitual diet, in the form of a posteriori-derived dietary patterns, and microbiota co
27 st study to investigate associations between a posteriori-derived DP and retinal vessel caliber.
28 te of 27.23% derived from recent studies, an a posteriori descriptive and exploratory noninferiority
29 ting a reduced number of dietary features, 5 a posteriori dietary patterns based on food groups were
30     This exploratory study aimed to identify a posteriori dietary patterns in a cohort of nulliparous
31                                        Three a posteriori dietary patterns were derived from factor a
32 tor, and the Dutch Healthy Diet index] and 2 a posteriori dietary patterns.
33 tau 2)], and use Bayesian analysis to obtain a posteriori distribution of mu in terms of the data.
34                                   We derived a posteriori DPs using principal component factor analys
35 utions of the Smoluchowski equation based on a posteriori error estimates.
36 ias (-1.7 to 1.8 mg/L), which was lower with a posteriori estimate (-0.7 to 1.8 mg/L).
37 l (WTA) models and a Bayesian model, maximum a posteriori estimate (MAP), to determine which predicte
38 ormulation can be used for obtaining maximum a posteriori estimates from models or optimization probl
39 (2-4), which has resulted in a wide range of a posteriori estimates of flux.
40                        We calculated maximum a posteriori estimates of song spectrograms using a gene
41 responding one-dimensional family of maximum a posteriori estimates that interpolate smoothly between
42 ertainty quantification by computing maximum a posteriori estimates, or quantify the uncertainty at h
43 otential functions in the MRF so its maximum a posteriori estimation can be reduced to the well-known
44 nce of transforms of an atlas, and a maximum a posteriori estimation framework.
45  for global sensitivity analysis and maximum a posteriori estimation in a synthetic metabolic network
46            Further, as an extension, maximum a posteriori estimation is provided.
47 an be used as a structured prior for maximum a posteriori estimation of neural activity patterns, whi
48  to segment the minimum distance and maximum a posteriori estimation to infer de novo CNVs from the s
49        Coupled with segmentation and maximum a posteriori estimation, our algorithm compares favorabl
50 s at robustness by using a priorless maximum a posteriori estimator and at efficiency by a dynamic pr
51                         We propose a maximum a posteriori estimator based on composite likelihood (MA
52                        The shift from mostly a posteriori explanation to increasingly a priori risk p
53 ether, our model allows us to give plausible a posteriori explanations for features of natural networ
54              Quantitative analysis ruled out a posteriori explanations for the vesicles with low rele
55  pH sensors that can be efficiently modified a posteriori for specific applications.
56  and used to construct coexpression networks a posteriori, for which regulators were predicted based
57 eneration consortia efforts, which comprised a posteriori harmonization of exposure data and the incl
58 sion (blood flow) were essentially evaluated a posteriori, i.e. after generating a hollow network, bl
59 lesion (FL; FL score [FS]) uptake and tested a posteriori in uni- and multivariable analyses for thei
60 model properties in the absence of data) and a posteriori (in the context of a particular dataset) us
61 o analyze the parametric behavior of maximum a posteriori inference calculations for graphical models
62 rithm that provably reaches the MAP (maximum a posteriori) inference solution, but does so using spar
63 orted error values around double that of the a posteriori inverse squared model, and so the use of po
64                                      For the a posteriori inverse squared model, the root mean square
65                                              A posteriori, it turned out that the patients in these t
66 s which targets to interrogate offline using a posteriori knowledge such as prior observation, identi
67 ical models that learn via an online maximum a posteriori learning algorithm could provide such an ap
68 del alleviates the drawbacks of MAP (maximum a posteriori log likelihood) scores.
69 tion and a two-dimensional iterative maximum a posteriori (MAP) algorithm using attenuation correctio
70 tion process of parameters through a maximum a posteriori (MAP) Bayesian method to facilitate the met
71                We obtained very high Maximum a Posteriori (MAP) classification with a mixture of 12 d
72                                      Maximum a posteriori (MAP) common secondary structures, sequence
73 n the two modalities compared to the maximum a posteriori (MAP) estimator.
74               A moving detector with Maximum a Posteriori (MAP) further achieved radiation position l
75  the time-frequency plane that yield maximum a posteriori (MAP) spectral estimates that are continuou
76 tructed with the fully 3-dimensional maximum a posteriori method, and CT images were reconstructed wi
77 with 2 hybrid methods with those obtained by a posteriori methods and compare associations of these p
78                                          Two a posteriori methods were used to extract Western and pr
79 n linear time using forward-backward maximum-a-posteriori methods.
80 ion-based models (Poon, Gesche and Fung) and a posteriori models (inverse linear, inverse squared and
81 ohort specific, and this study was performed a posteriori on individuals who were genotyped.
82 hough this matrix has more missing data, our a posteriori partitioning strategy reduced the possibili
83             We demonstrated that global-diet a posteriori patterns were more associated with gut micr
84 d, we demonstrate that the Pointwise Maximum a posteriori (PMAP) HMM decoding procedure yields improv
85                 The method follows a maximum a posteriori principle to form a novel network score tha
86 e reconstruction algorithm utilizing maximum-a-posteriori principles and integrating the statistical
87 m (PRSSA) was developed based on the maximum a posteriori probability (MAP) estimate.
88 mized data to determine the critical maximum a posteriori probability (MAP) values for statistical si
89 ation maximization and 3-dimensional maximum a posteriori probability (MAP3D) algorithms.
90 stance to the set of samples chosen from the a posteriori probability distribution of transcription f
91 NOCIt, a software system that calculates the a posteriori probability distribution on the number of c
92 asone plasma concentrations by using maximum a posteriori probability estimation; we evaluated covari
93      The software is also capable of maximum a posteriori probability image estimation (MAP-SIM), an
94       The idealization is sought to maximize a posteriori probability of the state sequence correspon
95 obability', was computed; the mean value of 'a posteriori probability' for HRCT was 0.6358.
96 the predictive capability, as two values of 'a posteriori probability', was computed; the mean value
97 pper Midwest in 2009 were 2.9 Tg, 61% lower (a posteriori scale factor of 0.39) than our a priori pre
98                                              A posteriori scale factors for the U.S. anthropogenic CO
99 and, they can be used as a spectrum-adapted, a posteriori score for database search.
100  that best "explains" it, called the maximum a posteriori skeleton.
101 SubSampler, a Python library and toolkit for a posteriori subsampling of data from multiple trajector
102  of freedom allowing the parties to convert, a posteriori, the two-mode correlations of the eavesdrop
103 ressing the problem of antibiotic resistance a posteriori to a concept of a priori estimating, and ac
104 ategories of individuals that were predicted a posteriori to be dispersers (adult males) and philopat
105        Our scalable framework can be applied a posteriori to existing cytometry datasets or incorpora
106                    We use family information a posteriori to select only the most reliable CNV region
107 timizing pairing assignments a priori and/or a posteriori to the trial using both genetic and demogra
108 mework, and not necessarily implying only an a posteriori transformation of exclusively molecular-bas
109 ts logistical convenience, the concept of an a posteriori treatment recommends itself to be evaluated
110 though this Edisonian approach is useful for a posteriori understanding of the factors governing asse
111 relative to the use of partitions identified a posteriori using a Bayesian mixture model.
112    Antibiotic appropriateness was determined a posteriori using a classification algorithm developed
113 nic episodes have been clinically classified a posteriori using preset criteria.
114 y, precluding the need to compute the latter a posteriori via numerical integration.
115                          Using course grades a posteriori, we explore differences in behavior between
116                                              A posteriori, we show that the estimated feature field i
117 ay reduce BC risk in postmenopausal females; a posteriori Western/Meat/Alcohol dietary patterns may i

 
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