4 Mar 2007 lkcl   » (Master)

OLPC

no, any old machine with 128mb of RAM _won't_ do. the startup time on the AMD Geode 500mhz GX and 600mhz LX CPUs is 11 seconds because the memory is 64-bit DDR 300 and 400 mhz respectively.

compare that to older 133mhz SDRAM of "any old machine" and it's 3 times faster. i have a 500mhz Via ETEN cpu which uses the older 133mhz SDRAM and it runs like a DOG.

you almost don't need any L2 cache, and if you used that blindingly quick DDR2 memory that was the same speed as the CPU, then actually you would have a faster processor if you didn't have ANY cache.

quad:

there is a well-known (except i can't remember the name!) semantic classification system which goes on "when what why who where"?

then you provide hierarchical views, provide tags and tag groups.

then you apply intelligence (either through bayesian or through many monkeys) tagging.

_then_ you qualify the tags themselves (!) and make _those_ simply part of the information infrastructure.

so, one of the sources is "tags from bayesian filtering" which were added today, for the purpose of finding some spam... that gives you the "when what where who why".

i'll try to find the name of the classification system.

ok well at least i found this:

http://www.statsoft.com/textbook/stclatre.html

The moral of this story of the power and pitfalls of classification trees is that classification trees are only as good as the choice of analysis option used to produce them. For finding models that predict well, there is no substitute for a thorough understanding of the nature of the relationships between the predictor and dependent variables.

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