"The model should not include interdependent sensors." To which one can only ask: (1) Why not? and (2) How do you propose to avoid them? (Your sensors are all reporting data on the same person, are they not?)
On Fri, 17 Oct 2003, albinali wrote: > I am using a set of data that I collected using biosensors, the goal > is to analyze the data and to infer the dependencies between the > variables to construct a bayesian network that infers the mood of a > person (e.g. happy, sad...etc). Clearly, the response variable is > non-ordinal and categorical. The model should not include > interdependent sensors. -I would like to get some thoughts about using > regression for such a task, is it a good choice ? are there any other > possible techniques to use? More importantly, would it be possible to > automate the building of such models? Is anyone aware of any earlier > work in that area?. Thanks. Fahd > > > . > . > ================================================================= > Instructions for joining and leaving this list, remarks about the > problem of INAPPROPRIATE MESSAGES, and archives are available at: > . http://jse.stat.ncsu.edu/ . > ================================================================= > ----------------------------------------------------------------------- Donald F. Burrill [EMAIL PROTECTED] 56 Sebbins Pond Drive, Bedford, NH 03110 (603) 626-0816 . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
