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researcher

M. Svensén

2 papers hereh-index 153.8k citations24 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG1
  • eess.SP1

identity via Semantic Scholar / OpenAlex

most citedBayesian Hierarchical Mixtures of Experts

123 citations · 123 across the 1 of their papers we have counts for

collaborators

2 papers

eess.SP2020

Potential, Challenges and Future Directions for Deep Learning in Prognostics and Health Management Applications

Olga Fink, Qin Wang, Markus Svensén +3

Deep learning applications have been thriving over the last decade in many different domains, including computer vision and natural language understanding. The drivers for the vibr…

cs.LG2012★ 123 cited

Bayesian Hierarchical Mixtures of Experts

Christopher M. Bishop, Markus Svensen

The Hierarchical Mixture of Experts (HME) is a well-known tree-based model for regression and classification, based on soft probabilistic splits. In its original formulation it was…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.