Friday, February 25, 2005

Naive Bayes to fight HIV?

Quoting -- "Microsoft scientists David Heckerman and Nebojsa Jojic were the first to pioneer the medical uses of anti-spam software. They have joined up with doctors and scientists from the University of Washington and Australia's Royal Perth Hospital to build more potent vaccines based on the data gathered by Microsoft's technologies."



Najd said...

The area for the machine learning is present here for the better medical uses of anti-spam software. From this good site you can get the better area of the Microsoft's technologies. Just get the better help from this area.

Anonymous said...

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Anonymous said...

He should fight with it till he can. There are the will power which is really important to cure any kind of sickness. that is very helpful for the academic papers writing.

hayat said...

I think there is need toexplore the details of this disease and what is reason behind of it. We have to take some strong step to get rid of this disease.

aliyaa said...

This website can provide us best goal to skip the spam software. There are many online tools that can help us in this regard so great piece of work.

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walterwhite said...

Naive Bayes, a machine learning algorithm, has the potential to be applied to fight HIV. It can be used for predictive modeling, diagnostic support, treatment optimization, and epidemiological analysis. It can predict the likelihood of HIV transmission or progression based on factors like demographic information, lifestyle choices, and medical history Abogado Defensor DUI de Fairfax VA.