منابع مشابه
As They Grow Up, Children Change from “yummy” to That “makes Us Fat”
The results demonstrate an interesting dissociation. When the child is questioned implicitly, he makes "culinary" associations (e.g. pasta-steak) in 81% of cases, to the detriment of nutritional associations (e.g. pasta-rice). This dominance of the culinary attitude is seen irrespective of the child's age, reflecting cultural learning where pleasure is fundamental. However, when the child is qu...
متن کاملRecursive Estimation of Proportions in Earth Observations
In Earth observations problems, we usually have the situation of knowing accurately the probability density functions of the several classes of interest, and we need to classify a set of observations with unknown class proportions. The observations are in n-dimensional space, where n is the number of spectral bands. Two recursive algorithms for classifying the observations and estimating the pr...
متن کاملEarth as Humans’ Habitat: Global Climate Change and the Health of Populations
Human-induced climate change, with such rapid and continuing global-scale warming, is historically unprecedented and signifies that human pressures on Earth’s life-supporting natural systems now exceed the planet’s bio-geo-capacity. The risks from climate change to health and survival in populations are diverse, as are the social and political ramifications. Although attributing observed health...
متن کامل… but climate change indicators grow apace
Record amounts of the Arctic Ocean failed to freeze during the past winter, new figures show, spelling disaster for wildlife and strengthening concerns that the region is locked into a destructive cycle of irreversible climate change. Those wishing to deny global warming are increasingly faced by compelling evidence. Satellite measurements show the area covered by Arctic winter sea ice reached ...
متن کاملGAL: Networks That Grow When They Learn and Shrink When They Forget
Learning when limited to modiication of some parameters has a limited scope; the capability to modify the system structure is also needed to get a wider range of the learnable. In the case of artiicial neural networks, learning by iterative adjustment of synaptic weights can only succeed if the network designer predeenes an appropriate network structure, i.e., number of hidden layers, units, an...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Experimental Biology
سال: 2014
ISSN: 1477-9145,0022-0949
DOI: 10.1242/jeb.107938