Invented by Ian Goodfellow, now a research scientist at OpenAI, generative adversarial networks, or GANs, are systems consisting of one network that generates new data after learning from a training set, and another that tries to discriminate between real and fake data.
The first one consists of modifying the instrument, the definition of the construct under investigation, or both, in order to generate new data that better conform to the model.
There are several studies that use a feature space centroid to generate new data.
Other techniques create semi-real data by subsampling real data sets to generate new data sets with known properties.
It gets bandied about and abused a lot, sure, but real Big Data occurs when the data is of sufficient size that it can generate new data.
In an era of personalized medicine, we have the opportunity to investigate tailored screening based on a woman's specific risk for a specific tumor type, generating new data that can inform best practices rather than to continue the rancorous debate.
The cutting edge of research will always outpace standardization, generating new data and analysis that may not fit into any existing schema.
People, devices, infrastructures and sensors can constantly communicate exchanging data and generating new data that trace many of these exchanges.
We argue that the proposed methodology can generate new data and encourage fresh lines of enquiry in the study of extant and partially preserved historic and prehistoric built structures in a variety of contexts, ranging from building interiors and townscapes to landscapes.
We assume that an inactive sensor may generate new data of random size with the mean rate λ.
In each of these generic areas we used the term primary and secondary research where secondary research is research that uses existing data through analysis and/or synthesis and primary research is activity that generates new - primary - data.
