Amanote Research

Amanote Research

    RegisterSign In

Improving Counterfactual Reasoning With Kernelised Dynamic Mixing Models

PLoS ONE - United States
doi 10.1371/journal.pone.0205839
Full Text
Open PDF
Abstract

Available in full text

Categories
Multidisciplinary
Date

November 12, 2018

Authors
Sonali ParbhooOmer GottesmanAndrew Slavin RossMatthieu KomorowskiAldo FaisalIsabella BonVolker RothFinale Doshi-Velez
Publisher

Public Library of Science (PLoS)


Related search

A Logic for Reasoning About Counterfactual Emotions

Artificial Intelligence
LinguisticsLanguageArtificial Intelligence
2011English

Expectations in Counterfactual and Theory of Mind Reasoning

Language and Cognitive Processes
2010English

Causal Reasoning With Mental Models

Frontiers in Human Neuroscience
Mental HealthNeuropsychologyPhysiological PsychologyNeurologyBehavioral NeurosciencePsychiatryBiological Psychiatry
2014English

Improving Students Spatial Reasoning With Course Lab

Journal on Mathematics Education
MathematicsEducation
2018English

Counterfactual Graphical Models for Longitudinal Mediation Analysis With Unobserved Confounding

Cognitive Science
Cognitive PsychologyExperimentalArtificial IntelligenceCognitive Neuroscience
2013English

Advanced Mixing Models

2008English

Models of Inductive Reasoning

2001English

Improving On-Farm Mixing Efficiency

Kansas Agricultural Experiment Station Research Reports
1990English

More Models for Lepton Mixing With Four Constraints

Journal of High Energy Physics
High Energy PhysicsNuclear
2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy