Examples of using Human computation in English and their translations into Slovenian
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Human computation(Section 5.2).
The prototypical example of a human computation project is Galaxy Zoo.
Now I can also highlight twoimportant differences between open call projects and human computation projects.
The prototypical example of a human computation project is Galaxy Zoo, which I will describe in detail below.
The work of Banerji andcolleagues turned Galaxy Zoo into what I would call a computer-assisted human computation system.
This comparison shows that, as with Galaxy Zoo, human computation projects can produce high-quality results.
Human computation projects are ideally suited for easy-task-big-scale problems such as labeling a million images.
Finally, the examples in this section show that human computation can have a democratizing impact on science.
Create a human computation project to see if the ratio of women to men on the cover has changed over time.
If this approach does not scale well,the researcher can move to a human computation project with many participants.
Computer-assisted human computation systems also use machine learning in order to amplify the human effort.
Kenneth Benoit and colleagues(2016) decided to take the manifesto coding taskthat had previously been performed by experts and turn it into a human computation project.
Second generation human computation systems also use machine learning in order to amplify the human effort.
In the human computation problems described in the previous section, the researchers knew how to solve the problems given sufficient time.
However, Benoit and colleagues were able to use their human computation system to do this coding- customized to their research question- quickly and easily.
Human computation projects take a big problem, break it into simple pieces, send them to many workers, and then aggregate the results.
The advantage of this computer-assisted human computation system is that it enables you to handle essentially infinite amounts of data using only a finite amount of human effort.
Human computation projects combine the work of many non-experts to solve easy-task-big-scale problems that are not easily solved by computers.
In addition to creating human computation and open calls, researchers can also create a distributed data collection project.
Human computation projects combine the work of many non-experts to solve easy-task-big-scale problems that are not easily solved by computers.
In addition to creating human computation and open call projects, researchers can also create distributed data collection projects.
Human computation projects combine the efforts of many people working on simple micro-tasks in order to solve problems that are impossibly big for one person.
In addition to creating human computation and open call projects, researchers can also create distributed data collection projects.
In human computation projects, researchers combine the efforts of many people working on simple microtasks in order to solve problems that are impossibly big for one person.
A classic example of a human computation project is Galaxy Zoo, where a hundred thousand volunteers helped astronomers classify a million galaxies.
In human computation and distributed data collection projects, moreover, the best form of quality control comes through redundancy, not through a high bar for participation.
For example, in the human computation project described below, the same recipe will be followed, but the apply and combine steps will be quite different.
In human computation and distributed data collection projects, on the other hand, the best form of quality control comes through redundancy, not a high bar for participation.
Further, because the human computation was quick and cheap, it was easy for them to customize their data collection to their specific research question about immigration.
In other words, human computation enabled them to generate coding of political texts that agreed with expert evaluations and was reproducible.