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13
Apr
13
Apr
Stochastic subsampling for factorizing huge matrices
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We present a matrix-factorization algorithm that scales to input matrices with both huge number of rows and columns. Learned factors may be sparse or dense [...]
13
Apr
Systèmes S-adiques toujours à spectre purement discret
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Soit S un ensemble fini de substitutions sur un même alphabet A tel qu'il existe une lettre a telle que pour tout s dans S, [...]
13
Apr
Spectral learning of weighted automata: multitask setting and nonlinear extension
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Structured objects such as strings, trees and graphs are ubiquitous in data science but learning functions defined over such objects can be a tedious task. [...]
