> "Vectors of high dimensionality". Is this interesting to J ? See below.

"Feature vectors of high dimensionality" means, in English, "lots of columns." 
Aka, each column is a "feature" or "dependent variable" fed to the machine 
learning algorithm. I think in speech problems it's usually around 100.
Speech recognition is good stuff, and the practitioners are often sought after 
hot-dogs who disappear into various spooky hedge funds and government agencies. 
J would probably be pretty good for doing this, but a lot of libraries and 
basic doodads would be necessary to get things done.


-SL
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