Clark Glymour
Clark Glymour
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Cited by
Cited by
Causation, prediction, and search
P Spirtes, CN Glymour, R Scheines
MIT press, 2000
Theory and evidence
CN Glymour
A theory of causal learning in children: causal maps and Bayes nets.
A Gopnik, C Glymour, DM Sobel, LE Schulz, T Kushnir, D Danks
Psychological review 111 (1), 3, 2004
An algorithm for fast recovery of sparse causal graphs
P Spirtes, C Glymour
Social science computer review 9 (1), 62-72, 1991
Review of causal discovery methods based on graphical models
C Glymour, K Zhang, P Spirtes
Frontiers in genetics 10, 524, 2019
Causal learning mechanisms in very young children: two-, three-, and four-year-olds infer causal relations from patterns of variation and covariation.
A Gopnik, DM Sobel, LE Schulz, C Glymour
Developmental psychology 37 (5), 620, 2001
Discovering causal structure: Artificial intelligence, philosophy of science, and statistical modeling
C Glymour, R Scheines, P Spirtes
Academic Press, 2014
Inferring causation from time series in Earth system sciences
J Runge, S Bathiany, E Bollt, G Camps-Valls, D Coumou, E Deyle, ...
Nature communications 10 (1), 2553, 2019
The mind's arrows: Bayes nets and graphical causal models in psychology
CN Glymour
MIT press, 2001
Computation, causation, and discovery
CN Glymour, GF Cooper
(No Title), 1999
Six problems for causal inference from fMRI
JD Ramsey, SJ Hanson, C Hanson, YO Halchenko, RA Poldrack, ...
neuroimage 49 (2), 1545-1558, 2010
Domain adaptation with conditional transferable components
M Gong, K Zhang, T Liu, D Tao, C Glymour, B Schölkopf
International conference on machine learning, 2839-2848, 2016
Statistical themes and lessons for data mining
C Glymour, D Madigan, D Pregibon, P Smyth
Data mining and knowledge discovery 1, 11-28, 1997
A million variables and more: the fast greedy equivalence search algorithm for learning high-dimensional graphical causal models, with an application to functional magnetic …
J Ramsey, M Glymour, R Sanchez-Romero, C Glymour
International journal of data science and analytics 3, 121-129, 2017
Preschool children learn about causal structure from conditional interventions
LE Schulz, A Gopnik, C Glymour
Developmental science 10 (3), 322-332, 2007
The TETRAD project: Constraint based aids to causal model specification
R Scheines, P Spirtes, C Glymour, C Meek, T Richardson
Multivariate Behavioral Research 33 (1), 65-117, 1998
An evaluation of machine-learning methods for predicting pneumonia mortality
GF Cooper, CF Aliferis, R Ambrosino, J Aronis, BG Buchanan, R Caruana, ...
Artificial intelligence in medicine 9 (2), 107-138, 1997
Learning the Structure of Linear Latent Variable Models.
R Silva, R Scheines, C Glymour, P Spirtes, DM Chickering
Journal of Machine Learning Research 7 (2), 2006
Introduction to the Philosophy of Science
MH Salmon, C Glymour
Hackett Publishing, 1999
Optical coherence tomography machine learning classifiers for glaucoma detection: a preliminary study
Z Burgansky-Eliash, G Wollstein, T Chu, JD Ramsey, C Glymour, ...
Investigative ophthalmology & visual science 46 (11), 4147-4152, 2005
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