Learning Causal Models Of Multivariate Systems And The Value Of It For The Performance Modeling Of Computer Programs
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Causality in the Sciences
Author: Phyllis McKay Illari
language: en
Publisher: Oxford University Press
Release Date: 2011-03-17
Why do ideas of how mechanisms relate to causality and probability differ so much across the sciences? Can progress in understanding the tools of causal inference in some sciences lead to progress in others? This book tackles these questions and others concerning the use of causality in the sciences.
Advances in Artificial Intelligence
Author: Ildar Batyrshin
language: en
Publisher: Springer Science & Business Media
Release Date: 2011-11-14
The two-volume set LNAI 7094 and LNAI 7095 constitutes the refereed proceedings of the 10th Mexican International Conference on Artificial Intelligence, MICAI 2011, held in Puebla, Mexico, in November/December 2011. The 96 revised papers presented were carefully reviewed and selected from numerous submissions. The first volume includes 50 papers representing the current main topics of interest for the AI community and their applications. The papers are organized in the following topical sections: automated reasoning and multi-agent systems; problem solving and machine learning; natural language processing; robotics, planning and scheduling; and medical applications of artificial intelligence.