Re: ANN: Dogelog Player 1.2.6 (Segmented Fileaccess)

From	Mild Shock <janburse@fastmail.fm>
Newsgroups	comp.lang.javascript
Subject	Re: ANN: Dogelog Player 1.2.6 (Segmented Fileaccess)
Date	2025-02-20 11:20 +0100
Message-ID	<vp6vkp$fsjf$2@solani.org> (permalink)
References	(1 earlier) <vmtoor$c5ui$2@solani.org> <vo2kf4$11mi6$2@solani.org> <vo7luv$14pkn$3@solani.org> <vofbgs$35so$3@solani.org> <volcnk$6r8g$3@solani.org>

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We made our remark reality that a binary decision
tree can be directly created from the data. Starting
from adaptive trees we built a new aggregate that can
perform the statistics for a Bayes Classifier using
the majority rule. We only use Prolog code!

The adaptive tree can be used like a bitwise trie,
and allows us to compute some statistics in one pass.
 From this statistics we can then derive a decision
tree using a majority rule. The entropy of the computed
output will be inside an 1/2 bit interval of the
sample output entropy.

See also:

Bayes Classifier for SAT Learning
https://x.com/dogelogch/status/1892517071730135467

Bayes Classifier for SAT Learning
https://www.facebook.com/groups/dogelog

Mild Shock schrieb:
> An autoencoder learns two functions: an encoding
> function that transforms the input data, and a
> decoding function that recreates the input data
> from the encoded representation. We approach
> autoencoders via our already developed SAT Learning
> in the Prolog programming language.
> 
> Switching from a marginal maximizer to a conditional
> maximizer gives better results but also requires a
> more costly and slower optimizer. Maximum entropy
> methods were already suggest by Peter Cheeseman in
> 1987. Mostlikely flawed since there is not yet a
> feedback loop from the decoder to the encoder.
> 
> Maximum Entropy in SAT Autoencoding
> https://x.com/dogelogch/status/1890093860782764409
> 
> Maximum Entropy in SAT Autoencoding
> https://www.facebook.com/groups/dogelog
> 
> Mild Shock schrieb:
>> Dogelog Player is a Prolog system for JavaScript,
>> Python and Java. It is 100% written in Prolog itself.
>> We present an enhancement to DCG translation. It uses
>> unification spilling to reduce the number of needed
>> unify (=)/2 calls and intermediate variables.
>>
>> Unification spilling can be readily implemented by
>> performing unification (=)/2 during DCG translation.
>> Careful spilling without breaking steadfastness gave
>> us a 10% — 25% speed increase not only for the calculator
>> example but also for the Albufeira transpiler.
>>
>> See also:
>>
>> DCG Translation with Unification Spilling
>> https://x.com/dogelogch/status/1889270444647182542
>>
>> DCG Translation with Unification Spilling
>> https://www.facebook.com/groups/dogelog
>>
>

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Re: ANN: Dogelog Player 1.2.6 (Segmented Fileaccess) Mild Shock <janburse@fastmail.fm> - 2025-01-23 16:55 +0100
  Re: ANN: Dogelog Player 1.2.6 (Segmented Fileaccess) Mild Shock <janburse@fastmail.fm> - 2025-02-06 16:28 +0100
    Re: ANN: Dogelog Player 1.2.6 (Segmented Fileaccess) Mild Shock <janburse@fastmail.fm> - 2025-02-08 14:24 +0100
      Re: ANN: Dogelog Player 1.2.6 (Segmented Fileaccess) Mild Shock <janburse@fastmail.fm> - 2025-02-11 12:15 +0100
        Re: ANN: Dogelog Player 1.2.6 (Segmented Fileaccess) Mild Shock <janburse@fastmail.fm> - 2025-02-13 19:13 +0100
          Re: ANN: Dogelog Player 1.2.6 (Segmented Fileaccess) Mild Shock <janburse@fastmail.fm> - 2025-02-20 11:20 +0100

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