Topic: | A statistical model of elegance and diffusion |
Posted by: | Rob Manson |
Date/Time: | 21/01/2003 03:19:20 |
Even though the NLP based models are binary (either present or not) that is still technically a statistical analysis 8) However, the greatest use I can see is at a meta level in a similar vain to population genetics. e.g. using statistics to see how these patterns/models are distributed across the population and what diffusion patterns they are exhibiting. Of course the latter is really more an analysis of the model replication models and the learning models being used, however these models effect the spread of all other models - and therefore may justify a community project of their own. I also think that statistics could be usefully applied to the analysis of what makes a model elegant and sufficient. e.g. what level of simplification is utilised across the collected models and what impact if any this has - a statistical model of elegance. There are a number of domains related to this in the world of computer programming such as code/compiler optimisation. While the variables in an algebraic equation are simplifications that may represent some number of real world complex objects the simplification is well defined...whereas the simplifications involved NLP modelling are still largely an expression of the skill of the modeller. roBman |
Topic | Date Posted | Posted By |
NLP & statistics | 02/01/2003 10:42:12 | Patrick E.C. Merlevede, MSc. (jobEQ.com) |
Re:NLP & statistics | 02/01/2003 11:27:47 | Patrick E.C. Merlevede, MSc. (jobEQ.com) |
Re:Re:NLP & statistics | 04/01/2003 08:44:24 | Bruce |
Re:Re:Re:NLP & statistics | 04/01/2003 11:23:38 | Patrick E.C. Merlevede, MSc. (jobEQ.com) |
Re:NLP & statistics | 04/01/2003 18:33:09 | Bruce |
Re:NLP & statistics | 05/01/2003 17:23:40 | John Grinder |
Re:Re:NLP & statistics | 06/01/2003 07:47:18 | Patrick E.C. Merlevede, MSc. (jobEQ.com) |
Re:Re:Re:NLP & statistics | 17/01/2003 19:46:21 | John Grinder |
NLP & statistics | 18/01/2003 00:16:31 | suzyhomemaker |
Re:NLP & statistics | 18/01/2003 04:03:44 | John Grinder |
Re:Re:NLP & statistics | 18/01/2003 23:03:27 | Robert |
Re:NLP & statistics | 09/02/2003 12:10:24 | Patrick E.C. Merlevede, MSc. (jobEQ.com) |
27/02/2003 02:28:33 | Ryan Nagy | |
NLP/statistics/dynamic systems | 27/02/2003 02:33:32 | Ryan Nagy |
Re:NLP/statistics/dynamic systems | 03/03/2003 06:53:34 | Patrick E.C. Merlevede, MSc. (jobEQ.com) |
Re:Re:NLP/statistics/dynamic systems | 04/03/2003 17:45:19 | Ryan Nagy |
Re:Re:NLP/statistics/dynamic systems | 04/03/2003 22:09:54 | John Grinder |
A statistical model of elegance and diffusion | 21/01/2003 03:19:20 | Rob Manson |
Re:A statistical model of elegance and diffusion | 21/01/2003 04:16:48 | John Grinder |
Re:Re:A statistical model of elegance and diffusion | 21/01/2003 10:55:06 | Rob Manson |
Re:Re:Re:A statistical model of elegance and diffusion | 21/01/2003 17:22:38 | John Grinder |
The genetics analogy | 21/01/2003 11:54:19 | Rob Manson |
Re:The genetics analogy | 22/01/2003 04:27:46 | John Grinder |
Re:Re:The genetics analogy | 22/01/2003 05:35:59 | Rob Manson |
Re:The genetics analogy | 22/01/2003 04:27:48 | John Grinder |
Re:The genetics analogy | 22/01/2003 04:27:53 | John Grinder |
Re:The genetics analogy. topic: Solutions to Puzzles/Recommendations | 22/01/2003 05:53:24 | nj |
Re:Re:The genetics analogy. topic: Solutions to Puzzles/Recommendations | 22/01/2003 07:39:41 | Rob Manson |
Re:Re:Re:The genetics analogy. topic: Solutions to Puzzles/Recommendations | 22/01/2003 17:24:09 | John Grinder |
Re:Modelling vs Analysis | 22/01/2003 23:16:12 | Rob Manson |
The genetics analogy | 21/01/2003 11:55:16 | Rob Manson |
Re:NLP & statistics | 24/01/2003 06:49:17 | Mike |
Re:Re:NLP & statistics | 24/01/2003 16:39:35 | John Grinder |
Re:Re:Re:NLP & statistics | 24/01/2003 17:25:03 | Mike |
Re:Re:Re:Re:NLP & statistics | 24/01/2003 18:26:08 | John Grinder |
Re:Re:Re:Re:Re:NLP & statistics | 28/01/2003 20:04:54 | Mike |