Permanence of age-structured populations in spatio-temporal variable environment

• For non-parametric supervised anomaly detection, the Hausdorff distance based RBF kernel performs better on discriminating between department groups than the Fr´ echet distance

observations of breeding, to see if the breeding among the brown trouts in the sample match any distribution. Thus the censored observations are excluded. Figure 3: The

Key words: Boolean model, Càdlàg stochastic process, Conditional intensity, Discrete sam- pling, Geostatistics with random sampling locations, Intensity functional, LISTA

rq fil» Semivirtures circa obje&a ea_j·*: \x demverfanpur atq; vircucescommunes, re in hoc differunt, quod illac mediurru a- attingere quidem amanc, fed hoc non ce poilunr, quia

[3] experimented on whether deep neural networks learn Facial Action Units when doing Expression Recognition, and the results in Figure 2.3 show that CNNs trained to do

Figure 5: Aedes aegypti decadal r in Europe for RCP8.5 during 2051- 2060. Comparison between a) interpolated monthly data and b) daily data. Model parameters are based on data from

This lack of appropriate quantitative palaeotemperature data, especially for the Southern Hemisphere, together with the inability of state-of-the-art General Circulation Models and

relative risk of 2.40 compared with the overall time period; cluster 1.2 shows the considerable mortality advantage of living in Butajira town, with a relative risk of 0.5