Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Frederick Eberhardt"'
Autor:
Frederick Eberhardt, Lin Lin Lee
Publikováno v:
Philosophies, Vol 7, Iss 2, p 30 (2022)
We provide a critical assessment of the account of causal emergence presented in Erik Hoel’s 2017 article “When the map is better than the territory”. The account integrates causal and information theoretic concepts to explain under what circum
Externí odkaz:
https://doaj.org/article/b5607b03fbfb499192c9d16d0a8678d9
Publikováno v:
SSRN Electronic Journal.
We propose a new method for learning causal structures from observational data, a process known as causal discovery. Our method takes as input observational data over a set of variables and returns a graph in which causal relations are specified by d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9abeaa47af81cf919fff6269083aaf01
https://doi.org/10.2139/ssrn.3873034
https://doi.org/10.2139/ssrn.3873034
Autor:
Frederick Eberhardt
Publikováno v:
International Journal of Data Science and Analytics. 3:81-91
This article presents an overview of several known approaches to causal discovery. It is organized by relating the different fundamental assumptions that the methods depend on. The goal is to indicate that for a large variety of different settings th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ac4dc0c21a533d67935c3db324707ec
https://doi.org/10.1007/s41060-016-0038-6
https://doi.org/10.1007/s41060-016-0038-6
Publikováno v:
Behaviormetrika. 44:137-164
Causal feature learning (CFL) (Chalupka et al., Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence. AUAI Press, Edinburgh, pp 181–190, 2015) is a causal inference framework rooted in the language of causal graphica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac70f7c625075f53d04093686f9b5bf3
https://doi.org/10.1007/s41237-016-0008-2
https://doi.org/10.1007/s41237-016-0008-2
Publikováno v:
Uncertainty in artificial intelligence : proceedings of the ... conference. Conference on Uncertainty in Artificial Intelligence. 2019
Scientific models describe natural phenomena at different levels of abstraction. Abstract descriptions can provide the basis for interventions on the system and explanation of observed phenomena at a level of granularity that is coarser than the most
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::b6df5aa876e417ada93443808252ef74
https://pubmed.ncbi.nlm.nih.gov/31592241
https://pubmed.ncbi.nlm.nih.gov/31592241
Autor:
Frederick Eberhardt
Publikováno v:
Cause Effect Pairs in Machine Learning ISBN: 9783030218096
Cause Effect Pairs in Machine Learning
Cause Effect Pairs in Machine Learning
The cause-effect pair challenges focused on the development of inference methods to determine the causal relation between two variables. It is natural to then ask how such methods could generalize beyond the two variable case to settings that either
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34a2d2073574d6342bd7202733681bf6
https://doi.org/10.1007/978-3-030-21810-2_6
https://doi.org/10.1007/978-3-030-21810-2_6
Publikováno v:
IJCAI
In recent years the possibility of relaxing the so-called Faithfulness assumption in automated causal discovery has been investigated. The investigation showed (1) that the Faithfulness assumption can be weakened in various ways that in an important
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b758a82932857f6b7b3b2911b6c6fe9c
Autor:
J. Michael Tyszka, Frederick Eberhardt, Julien Dubois, Ralph Adolphs, Hiroyuki Oya, Matthew A. Howard
Publikováno v:
Neuropsychologia
Emotions involve many cortical and subcortical regions, prominently including the amygdala. It remains unknown how these multiple network components interact, and it remains unknown how they cause the behavioral, autonomic, and experiential effects o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5626c16266333eab1c1ad40349ec26d8
https://doi.org/10.1016/j.neuropsychologia.2017.11.015
https://doi.org/10.1016/j.neuropsychologia.2017.11.015
Publikováno v:
Nature human behaviour. 4(11)
Human and animal behaviour exhibits complex but regular patterns over time, often referred to as expressions of personality. Yet it remains unclear what personality really is: is it just the behavioural patterns themselves, something in the brain, in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64e11605ddc56c483ff18eb4c0361e5a
https://pubmed.ncbi.nlm.nih.gov/33173199
https://pubmed.ncbi.nlm.nih.gov/33173199
Autor:
Frederick Eberhardt
Publikováno v:
Synthese. 193:1029-1046
The causal Bayes net framework specifies a set of axioms for causal discovery. This article explores the set of causal variables that function as relata in these axioms. Spirtes (2007) showed how a causal system can be equivalently described by two d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f72e8a83af29d78397a3420fa9d0cec9
https://doi.org/10.1007/s11229-015-0832-z
https://doi.org/10.1007/s11229-015-0832-z