I.I.D.2 hypothesis between training and testing data is the basis of numerous image classification methods. Such property can hardly be guaranteed in practice where Non-IIDness common, causing instable performances these models. In literature, however, Non-I.I.D.3 problem largely understudied. A key reason lacking a well-designed dataset to support related research. this paper, we construct rel...

The aim of this study is to identify the correlation between amount greenhouse gas emissions, added value from agriculture and economic growth in Visegrad Group countries. Four countries Central Europe were studied Czech Republic, Hungary, Poland Slovakia 2008–2019. Due objectives article, it was decided use panel model. temporal scope research covers years 2008–2019, i.e., two periods: 2008–20...

[1] The Mesozoic, perhaps the longest period of warmth during the Phanerozoic Earth history, has been repeatedly affected by short‐lived cold interludes lasting about one million years. While the origin of these cold snaps has been classically attributed to a temporary atmospheric CO2 drawdown, quantified mechanisms explaining these instabilities of the carbon cycle are still lacking. Based on ...

In the contemporary literature on recorded performance, the standard view is that today there is less diversity among interpretations of concert-hall music than in the first decades of the twentieth century.1 When explaining this lack of diversity, commentators generally point to specific record industry practices and the way performers use sound recordings. It is often claimed that with the ad...

As part of the model validation and development activities of a European research initiative in the area of passive solar architecture, a validation/calibration methodology has been developed which emphasises the use of empirical data in the model proving process and, if necessary, model calibration before use. This procedure has been applied to the ESP-r system in order that it might be used t...

We extend a Kalman filter model for count data to reflect observations irregularly spaced in time. The model is applied to estimate risk of rare events; bycatch of endangered leatherback turtles in a swordfish fishery off Oregon and California. Incidental takes of turtles are modeled as a Poisson process. The results suggest that take risk is better estimated by regarding the entire history of ...