Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Tim Genewein"'
Publikováno v:
PLoS Computational Biology, Vol 11, Iss 8, p e1004369 (2015)
Previous studies have shown that sensorimotor processing can often be described by Bayesian learning, in particular the integration of prior and feedback information depending on its degree of reliability. Here we test the hypothesis that the integra
Externí odkaz:
https://doaj.org/article/20ec38c293b3466ab1b313e7ddc03e49
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030336752
GCPR
GCPR
Deep neural networks achieve state-of-the-art results on several tasks while increasing in complexity. It has been shown that neural networks can be pruned during training by imposing sparsity inducing regularizers. In this paper, we investigate two
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7b10928dbae4b87a7f7129c094a528a
https://doi.org/10.1007/978-3-030-33676-9_10
https://doi.org/10.1007/978-3-030-33676-9_10
Publikováno v:
CVPR
Deep learning methods have become the de-facto standard for challenging image processing tasks such as image classification. One major hurdle of deep learning approaches is that large sets of labeled data are necessary, which can be prohibitively cos
Publikováno v:
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
IROS
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2017)
IROS
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2017)
Inspired by findings of sensorimotor coupling in humans and animals, there has recently been a growing interest in the interaction between action and perception in robotic systems [Bogh et al., 2016]. Here we consider perception and action as two ser
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::219787ecf8886bc6edce7c7d59a18497
Autor:
Daniel Braun, Tim Genewein
Publikováno v:
Proceedings of the Royal Society of London B
A large number of recent studies suggest that the sensorimotor system uses probabilistic models to predict its environment and makes inferences about unobserved variables in line with Bayesian statistics. One of the important features of Bayesian sta
Autor:
Daniel Braun, Tim Genewein
Publikováno v:
Biological Cybernetics
Bayesian inference and bounded rational decision-making require the accumulation of evidence or utility, respectively, to transform a prior belief or strategy into a posterior probability distribution over hypotheses or actions. Crucially, this proce