ライフサイエンスコーパス: posteriori

1 ccurate by incorporating experimental data a posteriori.

2 Here, the former is addressed a posteriori.

3 ion (3DOSEM) and the 3-dimensional maximum a posteriori (3DMAP).

4 The a posteriori accuracy of the predictions suggests the meth

5 the arcopallium posterius (AP), the nucleus posterioris amygdalopallii pars basalis (PoAb) and pars

6 Indeed, in an a posteriori analysis, the normal weightlifters proved clo

7 ity to over-fitting by adopting a Bayesian a posteriori approach based on a Laplacian prior in parame

8 Secondary end points included: a posteriori assessment of the accuracy of the infectious

9 The application of a maximum-a-posteriori Bayesian inference method identified a linear

10 chain, a prediction that could be verified a posteriori by the high-resolution crystal structure of t

11 A posteriori comparisons indicate that, in the first-centi

12 A posteriori-corrected discriminant analysis was able to c

13 Our straightforward "a posteriori" correction yields clean linear images as can

14 s (equal weights, literature review-based, a posteriori data-based, and weights based on Bayesian ana

15 integration, we used nonparametric maximum a posteriori decoding to compare the ability of neurons sh

16 study to investigate associations between a posteriori-derived DP and retinal vessel caliber.

17 r, and the Dutch Healthy Diet index] and 2 a posteriori dietary patterns.

18 u 2)], and use Bayesian analysis to obtain a posteriori distribution of mu in terms of the data.

19 ions of the Smoluchowski equation based on a posteriori error estimates.

20 (WTA) models and a Bayesian model, maximum a posteriori estimate (MAP), to determine which predicted

21 We calculated maximum a posteriori estimates of song spectrograms using a genera

22 ential functions in the MRF so its maximum a posteriori estimation can be reduced to the well-known m

23 Further, as an extension, maximum a posteriori estimation is provided.

24 o segment the minimum distance and maximum a posteriori estimation to infer de novo CNVs from the seg

25 Coupled with segmentation and maximum a posteriori estimation, our algorithm compares favorably

26 at robustness by using a priorless maximum a posteriori estimator and at efficiency by a dynamic prog

27 Quantitative analysis ruled out a posteriori explanations for the vesicles with low releas

28 H sensors that can be efficiently modified a posteriori for specific applications.

29 nd used to construct coexpression networks a posteriori, for which regulators were predicted based on

30 eration consortia efforts, which comprised a posteriori harmonization of exposure data and the inclus

31 on (blood flow) were essentially evaluated a posteriori, i.e. after generating a hollow network, bloo

32 analyze the parametric behavior of maximum a posteriori inference calculations for graphical models.

33 A posteriori, it turned out that the patients in these two

34 which targets to interrogate offline using a posteriori knowledge such as prior observation, identifi

35 l alleviates the drawbacks of MAP (maximum a posteriori log likelihood) scores.

36 on and a two-dimensional iterative maximum a posteriori (MAP) algorithm using attenuation correction.

37 on process of parameters through a maximum a posteriori (MAP) Bayesian method to facilitate the metho

38 We obtained very high Maximum a Posteriori (MAP) classification with a mixture of 12 dif

39 Maximum a posteriori (MAP) common secondary structures, sequence a

40 he time-frequency plane that yield maximum a posteriori (MAP) spectral estimates that are continuous

41 ucted with the fully 3-dimensional maximum a posteriori method, and CT images were reconstructed with

42 th 2 hybrid methods with those obtained by a posteriori methods and compare associations of these pat

43 Two a posteriori methods were used to extract Western and prud

44 linear time using forward-backward maximum-a-posteriori methods.

45 ugh this matrix has more missing data, our a posteriori partitioning strategy reduced the possibility

46 Such a data-driven posteriori pattern faces low efficiency, ambiguous orien

47 The method follows a maximum a posteriori principle to form a novel network score that

48 reconstruction algorithm utilizing maximum-a-posteriori principles and integrating the statistical pr

49 zed data to determine the critical maximum a posteriori probability (MAP) values for statistical sign

50 ion maximization and 3-dimensional maximum a posteriori probability (MAP3D) algorithms.

51 ance to the set of samples chosen from the a posteriori probability distribution of transcription fac

52 one plasma concentrations by using maximum a posteriori probability estimation; we evaluated covariat

53 The software is also capable of maximum a posteriori probability image estimation (MAP-SIM), an al

54 The idealization is sought to maximize a posteriori probability of the state sequence correspondi

55 er Midwest in 2009 were 2.9 Tg, 61% lower (a posteriori scale factor of 0.39) than our a priori predi

56 A posteriori scale factors for the U.S. anthropogenic CO s

57 d, they can be used as a spectrum-adapted, a posteriori score for database search.

58 e posterior tuberculum, and nucleus recessus posterioris showed distinct CARTp-immunoreactivity.

59 Finally, we propose a new concept, posteriori signal-to-noise ratio (p-SNR), to assign cert

60 hat best "explains" it, called the maximum a posteriori skeleton.

61 f freedom allowing the parties to convert, a posteriori, the two-mode correlations of the eavesdroppi

62 egories of individuals that were predicted a posteriori to be dispersers (adult males) and philopatri

63 We use family information a posteriori to select only the most reliable CNV regions,

64 logistical convenience, the concept of an a posteriori treatment recommends itself to be evaluated i

65 ough this Edisonian approach is useful for a posteriori understanding of the factors governing assemb

66 lative to the use of partitions identified a posteriori using a Bayesian mixture model.

67 c episodes have been clinically classified a posteriori using preset criteria.

68 A posteriori, we show that the estimated feature field is