I'm sorry, but to claim that getting the money for a project like this is both easy and simply a way to keep people living the high life shows an absolute lack of understanding of how research happens.
The fact that it is undirected and unweighted makes it even faster -- sub O(n^3) by at least one or more log factors depending on the density of the grpah. The shear size of the graph would make for a fun implementation, but it is entirely doable.
1. The screen is much higher resolution and touch capable. 2. The smaller the device, the more it costs. Find a desktop, now try and find a laptop with the same specs, then go down to a netbook, then a tablet, then a phone. It costs more each time.
Did you know there was a Greek Orthodox that's nearby and destroyed when WTC fell on it? Do you know that they haven't been given their permit to rebuild but the city has given one to the imam? They've been trying since it was destroyed.. There's that double standard again. How long do we have to put up with it?
Did you know that the Greek Orthodox church has been allowed to rebuild the entire time? Did you know they are trying to broker a better deal with the port authority to get a new, bigger building? Did you know they turned down free land and $60 million because it wasn't enough? Did you know the port authority finally took the deal off the table because the church kept demanding more?
The church could have been rebuilt years ago if they were willing to keep their original location and pay for it themselves.
Most academics love Wikipedia because it provides an easy introduction to topics, and includes references to original source materials. That doesn't mean you can cite Wikipedia in a paper; just like you can't cite any other encyclopedia.
And using a computer isn't useful in the teaching aspect. When performing computations on large matrices a computer is invaluable, but when learning the concept it isn't.
Most doctors are 20 minutes late because the previous four patients were each 5 minutes late. First thing in the morning and immediately after lunch are the most "on-time" times because patients haven't screwed up the schedule yet.
I think the online dating sites now cater not just to those that are "too busy" for a social scene. They are filled with people who are sick of the regular social scene (e.g., bars) for meeting people. There are people from all professions, faiths, and interests on them at this point.
This new service seems like it will be less rewarding and more expensive than regular dating sites.
Wow. Trolling this took talent. Both are good causes, and I would say vaccinating a population so they can survive will do wonders for raising their standard of living. It is hard to build knowledge when you are dead.
I agree it would be worth preserving, at least for now; but who says that it was entirely independent of life on Earth? Now that would be an interesting twist.
The rate at which new articles has decreased; I would hardly call this surprising. The coverage of Wikipedia is so great that the only place for new articles are more obscure concepts and greater specialization of existing ones.
There are ways of combining electronic and paper systems so that they are more reliable and more difficult to defraud then either paper or electronic alone. The problem is that no one seems to be willing to sell such a machine.
I agree, but I still think it is still useful. I see three main requirements for data mining research: data, algorithms, evaluation criteria. (Note: I don't do data mining myself, but know many people in the field and have studied it some).
There are lots of algorithms, but they cannot be evaluated in a vacuum. In fact, the algorithms used tend to be highly customized and tuned for any specific problem. Really, the data, algorithms, and evaluation are a package deal.
Getting all of the necessary components is a lot of work, and I think having the data and evaluation criteria provided by an outside source has some merit. If each researcher defines "good" differently it is impossible to be objective in comparison. Also, how is having Netflix state the goal any worse than a research project leader stating the goal? If I say "predict tomorrow's weather based on the previous 3 days known weather patterns" I have given the project parameters.
Obviously Netflix isn't, and shouldn't be, the only one setting goals for the community; but I think this is win-win for everyone. Netflix gets a new algorithm, customers get better service, researchers get money and acknowledgment. It would be interesting to see other companies or agencies promote such work.
Apparently recommendations are important, otherwise they wouldn't put that much money towards it. There are tens of thousands of movies you have never heard of, but chances are you might like some of them.
I'll add one more thing. Netflix has done the community a favor by providing a large dataset for testing algorithms. Data mining requires data. It requires more than just raw data. It is really difficult to know how well your algorithm works without data that has known answers to compare to. A good test dataset lets you compare your results to other results.
Most of these are research groups that would publish their results and research anyway. This gives them a practical application and a chance for some fame and money -- the research still gets done and published.
Re:Shard of glass in my delicious pie! *gruff*
on
Mario AI Competition
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· Score: 1
Not only is it expressive, but there are lots of useful AI and Machine Learning libraries written in it. Java may get a bad reputation from a lot of people, but it is heavily used by academics.
Slashdot Mirror
I'm sorry, but to claim that getting the money for a project like this is both easy and simply a way to keep people living the high life shows an absolute lack of understanding of how research happens.
eating the fuck out the bandwidth everywhere for free, and those are pretty much the exact words from the executives.
Free bandwidth? Netflix is paying for hosting and bandwidth. The customers are paying their ISP for bandwidth. It is being paid for on both sides.
A public school in the US is certainly considered a government institution, and the teacher is a government employee.
The fact that it is undirected and unweighted makes it even faster -- sub O(n^3) by at least one or more log factors depending on the density of the grpah. The shear size of the graph would make for a fun implementation, but it is entirely doable.
1. The screen is much higher resolution and touch capable.
2. The smaller the device, the more it costs. Find a desktop, now try and find a laptop with the same specs, then go down to a netbook, then a tablet, then a phone. It costs more each time.
Finland: 40 people per square mile
California: 234 people per square mile
You have "unlimited" video, which is probably limited to 5GB.
Did you know there was a Greek Orthodox that's nearby and destroyed when WTC fell on it? Do you know that they haven't been given their permit to rebuild but the city has given one to the imam? They've been trying since it was destroyed.. There's that double standard again. How long do we have to put up with it?
Did you know that the Greek Orthodox church has been allowed to rebuild the entire time? Did you know they are trying to broker a better deal with the port authority to get a new, bigger building? Did you know they turned down free land and $60 million because it wasn't enough? Did you know the port authority finally took the deal off the table because the church kept demanding more?
The church could have been rebuilt years ago if they were willing to keep their original location and pay for it themselves.
Most academics love Wikipedia because it provides an easy introduction to topics, and includes references to original source materials. That doesn't mean you can cite Wikipedia in a paper; just like you can't cite any other encyclopedia.
And using a computer isn't useful in the teaching aspect. When performing computations on large matrices a computer is invaluable, but when learning the concept it isn't.
Microsoft Research puts out a lot of really interesting and successful research. They aren't the people programming the OS or office applications.
And my 486 doesn't run Windows 7. As operating systems change, so do their system requirements.
Most doctors are 20 minutes late because the previous four patients were each 5 minutes late. First thing in the morning and immediately after lunch are the most "on-time" times because patients haven't screwed up the schedule yet.
On a similar note, I would like to see universities release statements saying they will not accept students who studied the curriculum.
I think the online dating sites now cater not just to those that are "too busy" for a social scene. They are filled with people who are sick of the regular social scene (e.g., bars) for meeting people. There are people from all professions, faiths, and interests on them at this point.
This new service seems like it will be less rewarding and more expensive than regular dating sites.
Wow. Trolling this took talent. Both are good causes, and I would say vaccinating a population so they can survive will do wonders for raising their standard of living. It is hard to build knowledge when you are dead.
I agree it would be worth preserving, at least for now; but who says that it was entirely independent of life on Earth? Now that would be an interesting twist.
I think this is actually an interesting idea. Computers encompass much more than just laptops/desktops that we normally thing about.
The rate at which new articles has decreased; I would hardly call this surprising. The coverage of Wikipedia is so great that the only place for new articles are more obscure concepts and greater specialization of existing ones.
There are ways of combining electronic and paper systems so that they are more reliable and more difficult to defraud then either paper or electronic alone. The problem is that no one seems to be willing to sell such a machine.
I agree, but I still think it is still useful. I see three main requirements for data mining research: data, algorithms, evaluation criteria. (Note: I don't do data mining myself, but know many people in the field and have studied it some).
There are lots of algorithms, but they cannot be evaluated in a vacuum. In fact, the algorithms used tend to be highly customized and tuned for any specific problem. Really, the data, algorithms, and evaluation are a package deal.
Getting all of the necessary components is a lot of work, and I think having the data and evaluation criteria provided by an outside source has some merit. If each researcher defines "good" differently it is impossible to be objective in comparison. Also, how is having Netflix state the goal any worse than a research project leader stating the goal? If I say "predict tomorrow's weather based on the previous 3 days known weather patterns" I have given the project parameters.
Obviously Netflix isn't, and shouldn't be, the only one setting goals for the community; but I think this is win-win for everyone. Netflix gets a new algorithm, customers get better service, researchers get money and acknowledgment. It would be interesting to see other companies or agencies promote such work.
Apparently recommendations are important, otherwise they wouldn't put that much money towards it. There are tens of thousands of movies you have never heard of, but chances are you might like some of them.
I'll add one more thing. Netflix has done the community a favor by providing a large dataset for testing algorithms. Data mining requires data. It requires more than just raw data. It is really difficult to know how well your algorithm works without data that has known answers to compare to. A good test dataset lets you compare your results to other results.
Most of these are research groups that would publish their results and research anyway. This gives them a practical application and a chance for some fame and money -- the research still gets done and published.
Not only is it expressive, but there are lots of useful AI and Machine Learning libraries written in it. Java may get a bad reputation from a lot of people, but it is heavily used by academics.