Markus Svensén

14 papers A 1B 1C 1Journal 7Unranked 4
YearRankTypeTitle / Venue / Authors
2020 J jnl
Potential, challenges and future directions for deep learning in prognostics and health management applications.
Eng. Appl. Artif. Intell.
Olga Fink, Qin Wang, Markus Svensén, Pierre Dersin, Wan-Jui Lee, Melanie Ducoffe
2012 J jnl
Bayesian Hierarchical Mixtures of Experts
CoRR
Christopher M. Bishop, Markus Svensén
2005 J jnl
Robust Bayesian mixture modelling.
Neurocomputing
Markus Svensén, Christopher M. Bishop
2004 — conf
Distinguishing text from graphics in on-line handwritten ink.
IWFHR
Christopher M. Bishop, Markus Svensén, Geoffrey E. Hinton
2004 B conf
Robust Bayesian Mixture Modelling.
ESANN
Christopher M. Bishop, Markus Svensén
2003 A conf
Bayesian Hierarchical Mixtures of Experts.
UAI
Christopher M. Bishop, Markus Svensén
2002 J jnl
ICA of fMRI Group Study Data.
NeuroImage
Markus Svensén, Frithjof Kruggel, Habib Benali
2000 J jnl
Probabilistic Modelling of Single Trial fMRI Data.
IEEE Trans. Medical Imaging
Markus Svensén, Frithjof Kruggel, D. Yves von Cramon
1999 — conf
Markov Random Field Modelling of fMRI Data Using a Mean Field EM-algorithm.
EMMCVPR
Markus Svensén, Frithjof Kruggel, D. Yves von Cramon
1998 J jnl
Developments of the generative topographic mapping.
Neurocomputing
Christopher M. Bishop, Markus Svensén, Christopher K. I. Williams
1998 J jnl
GTM: The Generative Topographic Mapping.
Neural Comput.
Christopher M. Bishop, Markus Svensén, Christopher K. I. Williams
1996 C conf
GTM: A Principled Alternative to the Self-Organizing Map.
ICANN
Christopher M. Bishop, Markus Svensén, Christopher K. I. Williams
1996 — conf
GTM: A Principled Alternative to the Self-Organizing Map.
NIPS
Christopher M. Bishop, Markus Svensén, Christopher K. I. Williams
1995 — conf
EM Optimization of Latent-Variables Density Models.
NIPS
Christopher M. Bishop, Markus Svensén, Christopher K. I. Williams