Results 41 to 50 of about 472,976 (271)
The role of assumptions in causal discovery [PDF]
, 2009 The paper looks at the conditional independence search approach to causal discovery, proposed by Spirtes et al. and Pearl and Verma, from the point of view of the mechanism-based view of causality in econometrics, explicated by Simon.
Druzdzel, Marek J
core
, 2022 It is crucial to consider the social and ethical consequences of AI and ML based decisions for the safe and acceptable use of these emerging technologies. Fairness, in particular, guarantees that the ML decisions do not result in discrimination against individuals or minorities.
Binkytė-Sadauskienė, Rūta +4 more
openaire +3 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Neuroblastoma is the most common extracranial solid tumor in early childhood. Its clinical behavior is highly variable, ranging from spontaneous regression to fatal outcome despite intensive treatment. The International Society of Pediatric Oncology Europe Neuroblastoma Group (SIOPEN) Radiology and Nuclear Medicine Specialty Committees ...
Annemieke Littooij +11 more
wiley +1 more source
Constraint-based Causal Discovery for Non-Linear Structural Causal Models with Cycles and Latent Confounders [PDF]
, 2018 We address the problem of causal discovery from data, making use of the recently proposed causal modeling framework of modular structural causal models (mSCM) to handle cycles, latent confounders and non-linearities.
Forré, Patrick, Mooij, Joris M.
core +1 more source
Switching Regression Models and Causal Inference in the Presence of Discrete Latent Variables [PDF]
, 2020 Given a response $Y$ and a vector $X = (X^1, \dots, X^d)$ of $d$ predictors, we investigate the problem of inferring direct causes of $Y$ among the vector $X$. Models for $Y$ that use all of its causal covariates as predictors enjoy the property of being
Christiansen, Rune, Peters, Jonas
core +1 more source
Clinical Course and Impact of Breaks in Therapy for Children With Relapsed/Refractory Solid Tumors
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction Pediatric relapsed or refractory (R/R) solid tumors carry a dismal prognosis, and postrelapse patient experiences are not well described. We present postrelapse outcomes, including number of R/R events and subsequent therapy regimens.
Matthew T. McEvoy +5 more
wiley +1 more source
An Upper Bound for Random Measurement Error in Causal Discovery [PDF]
, 2018 Causal discovery algorithms infer causal relations from data based on several assumptions, including notably the absence of measurement error. However, this assumption is most likely violated in practical applications, which may result in erroneous ...
Blom, Tineke +3 more
core +1 more source
Space‐Time Causal Discovery in Earth System Science: A Local Stencil Learning Approach
Journal of Geophysical Research: Machine Learning and ComputationCausal discovery tools enable scientists to infer meaningful relationships from observational data, spurring advances in fields as diverse as biology, economics, and climate science.
J. Jake Nichol +5 more
doaj +1 more source
Causal Discovery with Continuous Additive Noise Models [PDF]
, 2014 We consider the problem of learning causal directed acyclic graphs from an observational joint distribution. One can use these graphs to predict the outcome of interventional experiments, from which data are often not available.
Janzing, Dominik +3 more
core +3 more sources
Design Drives Discovery in Causal Learning [PDF]
Psychological Science, 2020 We assessed whether an artifact’s design can facilitate recognition of abstract causal rules. In Experiment 1, 152 three-year-olds were presented with evidence consistent with a relational rule (i.e., pairs of same or different blocks activated a machine) using two differently designed machines.
Caren M. Walker +2 more
openaire +4 more sources