Cargando…
Less is more: regularization perspectives on large scale machine learning
<!--HTML--><p>Modern data-sets are often huge, possibly high-dimensional, and require complex non-linear parameterization to be modeled accurately.<br /> Examples include image and audio classification but also data analysis problems in natural sciences, e..g high energy physics or...
| Autor principal: | |
|---|---|
| Lenguaje: | eng |
| Publicado: |
2017
|
| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/2269969 |