Stochastic Error Processing
Stochastic Error Processing is a computational framework within error-based learning that models the probabilistic nature of errors during learning, distinguishing itself from deterministic approaches by incorporating randomness in error detection, correction, and adaptation mechanisms.
9
Publications
576
Citations
27
Authors
24
Institutions
Publications per year
2017–2026
1
Parents
9
Pitfalls in supermatrix phylogenomics
Hervé Philippe, Damien M. de Vienne, Vincent Ranwez et al. · European Journal of Taxonomy · 2017 · 188 citations · Full text
Sascha E. Engelbrecht, Neil E. Berthier, Laura P. O’Sullivan · Psychological Science · 2003 · 53 citations
1–5 of 9
27
2
h-index
2
h-index
1
h-index
Swiss Center for Electronics and Microtechnology (Switzerland), Switzerland
1 publications · 145 citations
1
h-index
1
h-index
1–5 of 27
24

École de Technologie Supérieure
Montreal, Canada
1 h-index
2 publications
38 citations
Institut de Recherche pour le Développement
Marseille, France
1 h-index
1 publications
188 citations

Harbin Engineering University
Harbin, China
1 h-index
1 publications
19 citations
Laboratoire de Biométrie et Biologie Evolutive
Villeurbanne, France
1 h-index
1 publications
188 citations
University of Zurich
Zurich, Switzerland
1 h-index
1 publications
145 citations
Finnish Geospatial Research Institute
Espoo, Finland
1 h-index
1 publications
22 citations
Arizona State University
Tempe, United States
1 h-index
1 publications
94 citations

Tampere University
Tampere, Finland
1 h-index
2 publications
44 citations
1–8 of 24
2 publications · 113 citations
2
h-index
1 publications · 22 citations
1
h-index
EJT · 1 publications · 188 citations
1
h-index
1 publications · 145 citations
1
h-index
1 publications · 19 citations
1
h-index
1–5