2 papers
cs.CL2024
What makes a language easy to deep-learn? Deep neural networks and humans similarly benefit from compositional structure
Lukas Galke, Yoav Ram, Limor Raviv
Deep neural networks drive the success of natural language processing. A fundamental property of language is its compositional structure, allowing humans to systematically produce…
stat.AP2024
Bayesian estimation of the number of significant principal components for cultural data
Joshua C. Macdonald, Javier Blanco-Portillo, Marcus W. Feldman +1
Principal component analysis (PCA) is often used to analyze multivariate data together with cluster analysis, which depends on the number of principal components used. It is theref…