Causation and Prediction Challenge: Challenges in Machine Learning, Volume 2

This volume gathers the material of the first causality challenge organized by the Causality Workbench Team for the World Congress on Computational Intelligence (WCCI), June 3, 2008 in Hong Kong, including a collection of papers first published in the Journal of Machine Learning Research and a paper summarizing the results of the challenge and contributions of the top ranking entrants. An appendix describes the methods used by participants and a technical report with details on the datasets. The book is complemented by a web site from which the datasets can be downloaded and post-challenge submissions can be made to benchmark new algorithms.

Dettagli sul prodotto

• Con la collaborazione di: Constantin Aliferis (Editore), Greg Cooper (Editore), Isabelle Guyon (Editore)
• Editore: Microtome Pub
• Lingue: Inglese
• Formato: Copertina rigida
• Pubblicazione: 01.01.2010
• EAN: 9780971977723
• ISBN: 978-0-9719777-2-3
• Pagine: 294
• Dimensioni: 254 mm x 178 mm x 18 mm
• Peso: 726 g
• Categoria: Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Informatica