no code implementations • 19 Jan 2021 • Mikhail M. Meskhi, Adriano Rivolli, Rafael G. Mantovani, Ricardo Vilalta
A proper form of data characterization can guide the process of learning-algorithm selection and model-performance estimation.
no code implementations • 16 Sep 2020 • Márcio P. Basgalupp, Rodrigo C. Barros, Alex G. C. de Sá, Gisele L. Pappa, Rafael G. Mantovani, André C. P. L. F. de Carvalho, Alex A. Freitas
Auto-WEKA combines algorithm selection and hyper-parameter optimisation to recommend classification algorithms from multiple paradigms.
4 code implementations • 11 Aug 2017 • Bernd Bischl, Giuseppe Casalicchio, Matthias Feurer, Pieter Gijsbers, Frank Hutter, Michel Lang, Rafael G. Mantovani, Jan N. van Rijn, Joaquin Vanschoren
Machine learning research depends on objectively interpretable, comparable, and reproducible algorithm benchmarks.