Sujet : Re: ANN: Dogelog Player 1.2.6 (Segmented Fileaccess)
De : janburse (at) *nospam* fastmail.fm (Mild Shock)
Groupes : comp.lang.prologDate : 20. Feb 2025, 11:21:01
Autres entêtes
Message-ID : <vp6vmc$fsjf$3@solani.org>
References : 1 2 3 4 5 6
User-Agent : Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:128.0) Gecko/20100101 Firefox/128.0 SeaMonkey/2.53.20
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/1892517071730135467Bayes Classifier for SAT Learning
https://www.facebook.com/groups/dogelogMild 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
>