Public Accounts of the Province of New Brunswick
Author | : New Brunswick. Comptroller-General |
Publisher | : |
Total Pages | : 952 |
Release | : 1930 |
Genre | : New Brunswick |
ISBN | : |
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Author | : New Brunswick. Comptroller-General |
Publisher | : |
Total Pages | : 952 |
Release | : 1930 |
Genre | : New Brunswick |
ISBN | : |
Author | : United States. Office of the Comptroller of the Currency |
Publisher | : |
Total Pages | : 876 |
Release | : 1919 |
Genre | : Banks and banking |
ISBN | : |
Author | : Federated Institution of Mining Engineers (Great Britain) |
Publisher | : |
Total Pages | : 876 |
Release | : 1898 |
Genre | : Mineral industries |
ISBN | : |
Author | : Huguenot Society of America |
Publisher | : |
Total Pages | : 788 |
Release | : 1899 |
Genre | : Huguenots |
ISBN | : |
Author | : Alexander Craig Sellar |
Publisher | : |
Total Pages | : 552 |
Release | : 1879 |
Genre | : Education |
ISBN | : |
Author | : Roman Wyrzykowski |
Publisher | : Springer |
Total Pages | : 900 |
Release | : 2003-08-01 |
Genre | : Computers |
ISBN | : 3540480862 |
This book constitutes the thoroughly refereed post-proceedings of the 4th International Conference on Parallel Processing and Applied Mathematics, PPAM 2002, held in Naleczow, Poland, in September 2001. The 101 papers presented were carefully reviewed and improved during two rounds of reviewing and revision. The book offers topical sections on distributed and grid architectures, scheduling and load balancing, performance analysis and prediction, parallel non-numerical algorithms, parallel programming, tools and environments, parallel numerical algorithms, applications, and evolutionary computing and neural networks.
Author | : Shusaku Tsumoto |
Publisher | : Springer |
Total Pages | : 871 |
Release | : 2004-06-16 |
Genre | : Computers |
ISBN | : 3540259295 |
In recent years rough set theory has attracted the attention of many researchers and practitioners all over the world, who have contributed essentially to its development and applications. Weareobservingagrowingresearchinterestinthefoundationsofroughsets, including the various logical, mathematical and philosophical aspects of rough sets. Some relationships have already been established between rough sets and other approaches, and also with a wide range of hybrid systems. As a result, rough sets are linked with decision system modeling and analysis of complex systems, fuzzy sets, neural networks, evolutionary computing, data mining and knowledge discovery, pattern recognition, machine learning, and approximate reasoning. In particular, rough sets are used in probabilistic reasoning, granular computing (including information granule calculi based on rough mereology), intelligent control, intelligent agent modeling, identi?cation of autonomous s- tems, and process speci?cation. Methods based on rough set theory alone or in combination with other - proacheshavebeendiscoveredwith awide rangeofapplicationsinsuchareasas: acoustics, bioinformatics, business and ?nance, chemistry, computer engineering (e.g., data compression, digital image processing, digital signal processing, p- allel and distributed computer systems, sensor fusion, fractal engineering), de- sion analysis and systems, economics, electrical engineering (e.g., control, signal analysis, power systems), environmental studies, informatics, medicine, mole- lar biology, musicology, neurology, robotics, social science, software engineering, spatial visualization, Web engineering, and Web mining.