Research Publications

Research Publications

Author: Commission of the European Communities. Dissemination of Scientific and Technical Knowledge Unit

Publisher:

Published: 1989

Total Pages: 534

ISBN-13:

DOWNLOAD EBOOK


UNCITRAL 2012 Digest of Case Law on the Model Law on International Commercial Arbitration

UNCITRAL 2012 Digest of Case Law on the Model Law on International Commercial Arbitration

Author: United Nations Commission on International Trade Law

Publisher:

Published: 2012

Total Pages: 0

ISBN-13: 9789211337938

DOWNLOAD EBOOK

This publication contains a presentation of case laws rendered in jurisdictions having enacted the UNCITRAL Model Law on International Commercial Arbitration. In light of the large number of cases collected, the Commission requested a tool specifically designed to present selected information on the interpretation and application of the Model Law in a clear, concise and objective manner. This request originated the UNCITRAL Digest of Case Law on the UNCITRAL Model Law on International Commercial Arbitration. The purpose of the digest is to assist in the dissemination of information on the Model Law and further promote its adoption as well as its uniform interpretation and application. In addition, the digest is meant to help judges, government officials, arbitrators, practitioners and academics use more efficiently the case law relating to the UNCITRAL text.


Classification and Learning Using Genetic Algorithms

Classification and Learning Using Genetic Algorithms

Author: Sanghamitra Bandyopadhyay

Publisher: Springer Science & Business Media

Published: 2007-05-17

Total Pages: 320

ISBN-13: 3540496076

DOWNLOAD EBOOK

This book provides a unified framework that describes how genetic learning can be used to design pattern recognition and learning systems. It examines how a search technique, the genetic algorithm, can be used for pattern classification mainly through approximating decision boundaries. Coverage also demonstrates the effectiveness of the genetic classifiers vis-à-vis several widely used classifiers, including neural networks.