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the more you look for pattern by being motivated by optimization (developped as : when you have motivation you can focus and spend more energy on a task a drive for optimization is a good motivation that can apply to pretty much any kind of activity but especially the learning process when you learn you try to assimilate a rule or a set of rules that apply to a certain set of problems, you consequently have to detect patterns of situations
less repetition you need the faster you learn the earlier you can apply the lesson the better your return on investment is
supervision is costly training sets are costly
the faster the modelling function zero-in/converge on the ideal function
the more efficienty the learning algorithm itself is
should the relocalization for optimization in my original list paper (numbering appendix for OSEO) be based on priority of usage, consequently on size of data transferts? (inspired by discussion on parallelization with Laurent)
show mutations over a line
what it should be and eventually using a human-supervized first edition how it could be automatize explicitely discuss the mutation/selection part how evolution is the real learning process why skiping this seemingly optional chronological sequential mutations over time in the learning process but just focusing on the current state of the art, using only a 1 time snapshot, is not efficient.
newconcept http://en.wikipedia.org/wiki/Paleopathology discovered in annes lumiere (add link) where the author explicitely darwnism thinking makes a lot of sense connect to botnet connect to CAEE evolution of lifeforms and their models
metaphor that should be applied visually like visuals filters dedicated to specific situation, as a set of tools
hypothesis are like retinas : They allow to test but only a part of the knowledge domain, and regarding what one expects to see, it doesn't use the retina the same way. Based on specific type of hypothesis, equivalent of pattern of retinas could be applied.
on the basis on the importance of the membrane in Protocells
updated my own concepts tree in to actually put it... at the root(!) of it.
in the traditional sense (meaning for organisms before humans without culture being a key survival factor) life = applying the information mechanism to survive evolution = acquiring information FROM the environment BY selection the organism models (passively) its environment because survival selection is a filter and it is this very filter that, organism by organism, make it EMBODY a finer and finer model of the surrounding conditions life being just an stable applying mechanism that "interprets" the information