Actually not true. If the website gets a million unique visitors, there is about a 60% chance of someone winning.
And why is this even called Infer? It's not doing inference... BTW, Infer.NET is written in C#, but there is an F# wrapper.
What was the social network with public relations between people that failed because the "follow" was symmetric?
I'm a computer scientist, and I call the (very old) study of graphs "graph theory". How is "network theory" different? And is it just me, or is it painful to read this? It has the feel of a student taking an intro…
The data there has the scores from ~5000 games played over the course of each season, and the model he links to also seems quite reasonable to me: http://blog.smellthedata.com/2009/03/data-driven-march-madne... Don't…
And from a fellow researcher: http://hunch.net/?p=1172
Actually not true. If the website gets a million unique visitors, there is about a 60% chance of someone winning.
And why is this even called Infer? It's not doing inference... BTW, Infer.NET is written in C#, but there is an F# wrapper.
What was the social network with public relations between people that failed because the "follow" was symmetric?
I'm a computer scientist, and I call the (very old) study of graphs "graph theory". How is "network theory" different? And is it just me, or is it painful to read this? It has the feel of a student taking an intro…
The data there has the scores from ~5000 games played over the course of each season, and the model he links to also seems quite reasonable to me: http://blog.smellthedata.com/2009/03/data-driven-march-madne... Don't…
And from a fellow researcher: http://hunch.net/?p=1172