[Haskell-cafe] Neural nets and the menu (was: something different)

2008-01-07 Thread Achim Schneider
[EMAIL PROTECTED] wrote:

 Albert Y. C. Lai writes: 
 
  Achim Schneider wrote: 
  There is this story about some military (US afair) training a
  neural net to detect tanks in images
 ...
  50% accuracy.
 
  I have some similar stories to tell 
  
  A. ... students assumed
  sin(x+y) = sin(x) + sin(y) 
  B. ... But that day, that car, it showed no red light.
 
 All this is nice to read, and make me thank Lord I am still alive,
 but, for goodness sake, *what do you want to convey?* 
 
Probably that you have to come up with something more confusing and
powerful than a neural net and then transfer your consciousness into it
to understand yourself and how to program something like you.

 No quanta, no Wikipedia, no first-class objects, no Haskell, café I
 have to fetch myself in la cuisine, and I feel lost. 
 
There is always a good chance to get an Espresso-Baileys in any good
café. Or Baileys-Espresso, if you prefer. If you're lucky, you can also
get mead in your coffee.

I recommend any kind of sandcake with it.


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Re: [Haskell-cafe] Neural nets and the menu (was: something different)

2008-01-07 Thread jerzy . karczmarczuk
Achim Schneider writes: 

[EMAIL PROTECTED] wrote: 

... *what do you want to convey?* 



Probably that you have to come up with something more confusing and
powerful than a neural net and then transfer your consciousness into it
to understand yourself and how to program something like you.


Oh my, really?
I have to discuss this with my Master, R. Daneel Olivaw. 


My turn to tell an anecdote. Have you heard about the homework of Theodore
Hill (mathematician)? 


He asked his students to flip a coin 200 times, or use some other serious
random generator 200 times, and to report the result sequence. There was an
option for lazy people, they could fake the sequence and produce it from
the thin air, as intelligent humans could. 


Then he took the homeworks, scanned each for a couple of seconds, and with
a remarkable accuracy selected the cheaters. How? 






== 





If you haven't hear the story, check the Web for Benford's Law (discovered
by Newcomb 50 years earlier), and all the business which came with it,
notably some automated ways of discovering human cheaters who try to fake
*natural* data. Instructive, and despite reasonable analysis, still a bit
mysterious in its essence. I find it nicer than cheaters who try to convince
me that automata may fake human behaviour. 

Jerzy Karczmarczuk 



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