Algoritmos de ML para reconocer el alfabeto estático de la lengua de señas peruana
Comparación de seis clasificadores en CPU con 2500 registros angulares: Extra Trees obtiene el mejor resultado observado, con 97,80 % de exactitud.
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SAGE-CREH: adaptive subagent coordination and skills
A fifth architecture, the same twelve tasks and 216 new runs: comparing completion, tokens, time and skill distribution with code and data.
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Scientific articles · CREH Labs
CREH Labs icon in the header, charcoal headings, and a “creado por Cristhian Egoavil” footer. Available in Spanish and English. Contains example text and data, not research findings.