(FR)
Uniquement disponible en anglais.
– Paperback:
Free delivery for any order placed directly through the ISTE Group website istegroup.com
Delivery time: approximately two weeks
Deliveries only within metropolitan France, Belgium, Switzerland and Luxembourg
Printed in color
An ebook version is provided free with every hardcopy ordered through our website
It will be sent after the order is completed
Offer not applicable to bookshops
– Ebook:
Prices reserved for private individuals
Licenses for institutions: contact us
Our ebooks are in PDF format (readable on any device)
Machine learning has led to incredible achievements in many different fields of science and technology. These varied methods of machine learning all offer powerful new tools to scientists and engineers and open new paths in geomechanics.
The two volumes of Machine Learning in Geomechanics aim to demystify machine learning. They present the main methods and provide examples of its applications in mechanics and geomechanics. Most of the chapters provide a pedagogical introduction to the most important methods of machine learning and uncover the fundamental notions underlying them.
Building from the simplest to the most sophisticated methods of machine learning, the books give several hands-on examples of coding to assist readers in understanding both the methods and their potential and identifying possible pitfalls.
Part 1. Methods of Legal Theory
1. Methodology in Legal Philosophy, Julie Dickson.
2. The Methodology of Analytic Jurisprudence, Pierluigi Chiossoni.
3. Methodology for Theorizing About the Nature of Law and About Doctrinal Areas of Law, Brian H. Bix.
4. Empirical Complexity as a Conceptual Claim: Reappraising Hart’s Account of Law as a Complex Social Practice, Gregory Bligh.
5. Authoritative Disagreement: Meta-Legal Theory and the Semantics of Adjudication, Andrej Kristan and Giulia Pravato.
6. Jeremy Waldron, the Legitimacy of Judicial Review and Political Theory, Charles-Maxime Panaccio.
Part 2. Metatheory of Legal Science
7. Metatheory of an (Empirical) Legal Science, Eric Millard.
8. Legal and Social Sciences: What are the Links?, Véronique Champeil-Desplats.
9. A Hermeneutic Reading of Law and Legal Theory: Regarding Paul Ricoeur, Xavier Bioy and Thomas Escach-Dubourg.
10. Legal Science According to the Pure Theory of Law, Thomas Hochmann.
11. Axiological Neutrality, Oppositional Thinking and Knowledge, Jean-Baptiste Pointel.
12. Legal Science and Its Roles in Legal Reasoning, Fabio Perin Shecaira.
13. Inference to the Best Explanation in Legal Science; on Balancing Contrastive Hypotheses, David Duarte.
Ioannis Stefanou
Ioannis Stefanou is Professor at ECN, France, and leads several geomechanics projects. His main research interests include mechanics, geomechanics, control, induced seismicity and machine learning.
Félix Darve
Félix Darve is Emeritus Professor at the Soils Solids Structures Risks (3SR) laboratory, Grenoble-INP, Grenoble Alpes University, France. His research focuses on computational geomechanics.
