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## 3 Replies - 1881 Views - Last Post: 06 August 2012 - 04:13 AM

### #1 aceraven777

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Posted 06 August 2012 - 02:58 AM

I'm working on a traffic flow prediction where I can predict that a place has heavy or light traffic. I have classified each traffic as 1-5, 1 being the lightest traffic and 5 being the heaviest traffic.

I came across to this website http://www.waset.org.../v25/v25-36.pdf, adaboost algorithm, and I'm really having a difficulty learning this algorithm. Specially in the part where S is the set ((xi,yi),i=(1,2,…,m)). where Y={-1,+1}. what is x and y? and the constant L? what is the value of L?

Can someone explain me this algorithm?

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### #2 sepp2k

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Posted 06 August 2012 - 03:38 AM

The set S is one of the parameters of the algorithm. It's a set that contains m 2-tuples. x1 through xm and y1 through ym respectively are the first and second elements of each of those 2-tuples.

The constant L is another parameter of the algorithm.

### #3 aceraven777

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Posted 06 August 2012 - 03:52 AM

sepp2k, on 06 August 2012 - 03:38 AM, said:

The set S is one of the parameters of the algorithm. It's a set that contains m 2-tuples. x1 through xm and y1 through ym respectively are the first and second elements of each of those 2-tuples.

The constant L is another parameter of the algorithm.

yes I know that, what i'm asking is what is the use of x and y? and what must be the value of L?

### #4 sepp2k

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