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Causality for Machine Learning [PDF]

Probabilistic and Causal Inference, 2019
Graphical causal inference as pioneered by Judea Pearl arose from research on artificial intelligence (AI), and for a long time had little connection to the field of machine learning.
B. Scholkopf
semanticscholar   +1 more source

The Implicit Causality in Verbs

Scientific Bulletin of the Politehnica University of Timişoara: Transactions on Modern Languages, 2022
Natural languages display a great variety of devices that are used to speak of causal relations, ranging from prepositions, subordinating conjunctions and verbs.
S. Lindemann, Sabina Homana
semanticscholar   +1 more source

Thirty-day clinical outcome of traumatic brain injury patients with acute extradural and subdural hematoma: a cohort study at Mulago National Referral Hospital, Uganda

Egyptian Journal of Neurosurgery, 2020
Background Increasing traumatic brain injury (TBI) has paralleled the need for decompression surgery for acute subdural (ASDH) and acute extradural haematoma (AEDH).
Mbaaga K. Ssebakumba, Herman Lule, Francis Olweny, Jacqueline Mabweijano, Joel Kiryabwire   +4 more
doaj   +1 more source

Smoking Status and Type 2 Diabetes, and Cardiovascular Disease: A Comprehensive Analysis of Shared Genetic Etiology and Causal Relationship

Frontiers in Endocrinology, 2022
ObjectiveThis study aimed to explore shared genetic etiology and the causality between smoking status and type 2 diabetes (T2D), cardiovascular diseases (CVDs), and related metabolic traits.MethodsUsing summary statistics from publicly available genome ...
Yanna Chi, Xinpei Wang, Jinzhu Jia, Jinzhu Jia, Tao Huang, Tao Huang, Tao Huang   +6 more
doaj   +1 more source

Causality and Econometrics

Social Science Research Network, 2022
of the of IZA. on policy, but IZA takes no institutional policy positions. The IZA research network is committed to the IZA Guiding Principles of Research Integrity.
J. Heckman, R. Pinto
semanticscholar   +1 more source

The causal ladder and the strength of K-causality. I [PDF]

, 2007
A unifying framework for the study of causal relations is presented. The causal relations are regarded as subsets of M x M and the role of the corresponding antisymmetry conditions in the construction of the causal ladder is stressed.
Beem J K, Dowker H F, E Minguzzi, García-Parrado A, Hrbacek K, Kronheimer E H, Minguzzi E, Minguzzi E Sánchez M Alekseevsky D Baum H, O'Neill B, Park J C, Penrose R, Sorkin R D   +11 more
core   +5 more sources

Perceived locus of causality and internalization: examining reasons for acting in two domains.

Journal of Personality and Social Psychology, 1989
Theories of internalization typically suggest that self-perceptions of the "causes" of (i.e. reasons for) behavior are differentiated along a continuum of autonomy that contains identifiable gradations.
Richard M. Ryan, J. Connell
semanticscholar   +1 more source

Causality and Unification: How Causality Unifies Statistical Regularities

Theoria, 2015
Two key ideas of scientific explanation - explanations as causal information and explanation as unification - have frequently been set into mutual opposition.
Gerhard Schurz
doaj   +1 more source

Causality violation and singularities [PDF]

, 1995
We show that singularities necessarily occur when a boundary of causality violating set exists in a space-time under the physically suitable assumptions except the global causality condition in the Hawking-Penrose singularity theorems.
Akihiro Ishibashi, Hawking S W, Kengo Maeda, Kriele M, Kriele M, Newman R P A C, see also, Tipler F J   +7 more
core   +3 more sources

Causality matters in medical imaging [PDF]

Nature Communications, 2019
Causal reasoning can shed new light on the major challenges in machine learning for medical imaging: scarcity of high-quality annotated data and mismatch between the development dataset and the target environment.
Daniel Coelho de Castro, Ian Walker, B. Glocker   +2 more
semanticscholar   +1 more source