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.
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.