Variational methods pose the problem of computing relevant posterior distributions as an optimization problem, allowing us to build on recent advances in optimization theory to develop fast inference tools.
Despite the advantages of video, the method poses a number of challenges that touch upon issues ranging from the naturalness of the data (Schnettler & Raab 2008), how technology manipulates and frames the data obtained (Laurier & Philo 2012), to methodological questions about selection, analysis (Derry et al. 2010), and transcription practices (Knoblauch et al., 2012a, b).
Also, handling of hazardous chemicals in this method poses a risk on the researchers (Michaelis et al., 2008; Bulter, 2012).
Furthermore, the method poses a possibility of miniaturization and integration into a point-of-need Lab-on-a-chip system for rapid online pathogen detection.
Compared to the earlier work, the present method poses significant improvements for high dimensional problems.
The first method poses questions to researchers to assist them in considering sex or gender when setting research priorities and outcomes.
In the light of the new experiments, however, success of the energy-minimization prediction method poses a new question.
The proposed quantification method poses a major improvement over prevailing approaches because no error-prone conversion factors and assumptions are needed to obtain absolute biomass concentrations.
Tracking the movement of chromosomes in growing cells using this method poses challenges because lacI-gfp can cause growth defects when expressed in cells that contain a chromosomal lacO array [31].
This paper reviews another method, which poses the calculation of the bounds of the probability of failure as a reliability-based-design-optimization problem.
