On Wed, Jul 23, 2003 at 07:33:41AM -0700, Ian Clarke wrote: > On Wed, Jul 23, 2003 at 03:26:40PM +0100, Theodore Hong wrote: > > Is there any way of doing the training incrementally? That is, > Hmmm, I didn't realize that it wasn't incremental. Given that each > node is likely to have about 50 other nodes for which it must record > data, and given that several thousand requests per hour would not > be uncommon - is this going to be practical from a CPU/memory > requirements perspective?
Incremental training is a topic of research, but it's far too complicated for us to consider trying in the near future. Theo's reasoning about nearness / farness from the decision boundary agrees with my intuition, but the problem is that adding or removing a point could change the optimal decision boundary in certain cases because a different local minimum can be found. I don't think the CPU load will be a problem, so long as we spawn off a seperate thread at program startup that just constantly retrains the system with all of the latest data in a loop. Then prediction can be done in the seperate main thread rapidly. Rudi _______________________________________________ devl mailing list [EMAIL PROTECTED] http://hawk.freenetproject.org:8080/cgi-bin/mailman/listinfo/devl
