This book presents ground-breaking advances in the domain of causal structure learning. The problem of distinguishing cause from effect (“Does altitude cause a change in atmospheric pressure, or vice versa?”) is here cast as a binary classification problem, to be tackled by machine learning algorithms. Based on the results of the
Cha Learn Cause-Effect Pairs Challenge, this book reveals that the joint distribution of two variables can be scrutinized by mach...
Tabela de Conteúdo
1. The cause-effect problem: motivation, ideas, and popular misconceptions.- 2. Evaluation methods of cause-effect pairs.- 3. Learning Bivariate Functional Causal...
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Língua Inglês ● Formato PDF ● Páginas 372 ● ISBN 9783030218102 ● Tamanho do arquivo 12.5 MB ● Idade 02-99 anos ● Editor Isabelle Guyon & Alexander Statnikov ● Editora Springer International Publishing ● Cidade Cham ● País CH ● Publicado 2019 ● Carregável 24 meses ● Moeda EUR ● ID 7247414 ● Proteção contra cópia DRM social