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Statistical pattern recognition relates to the use of statistical techniques for analysing data measurements in order to extract information and make justified decisions. It is a very active area of study and research, which has seen many advances in recent years. Applications such as data mining, web searching, multimedia data retrieval, face recognition, and cursive handwriting recognition, all require robust and efficient pattern recognition techniques. This third edition provides an introduction to statistical pattern theory and techniques, with material drawn from a wide range of fields, including the areas of engineering, statistics, computer science and the social sciences. The book has been updated to cover new methods and applications, and includes a wide range of techniques such as Bayesian methods, neural networks, support vector machines, feature selection and feature reduction techniques.Technical descriptions and motivations are provided, and the techniques are illustrated using real examples. Statistical Pattern Recognition, 3rd Edition: Provides a self-contained introduction to statistical pattern recognition. Includes new material presenting the analysis of complex networks. Introduces readers to methods for Bayesian density estimation. Presents descriptions of new applications in biometrics, security, finance and condition monitoring. Provides descriptions and guidance for implementing techniques, which will be invaluable to software engineers and developers seeking to develop real applications Describes mathematically the range of statistical pattern recognition techniques. Presents a variety of exercises including more extensive computer projects. The in-depth technical descriptions make the book suitable for senior undergraduate and graduate students in statistics, computer science and engineering. Statistical Pattern Recognition is also an excellent reference source for technical professionals. Chapters have been arranged to facilitate implementation of the techniques by software engineers and developers in non-statistical engineering fields. www.wiley.com/go/statistical_pattern_recognition Получить ссылку |
Pivots, Patterns, and Intraday Swing Trades. Derivatives Analysis with the E-mini and Russell Futures Contracts
Автор: M. Scheier William
Год издания:
An original approach to trend discovery and trade entry Initial forays into day trading stock index futures reveal a starkly different decision environment. There is no time to dwell on technical conditions. Intraday volatility in the stock indices is far more exaggerated than the daily bar charts of other markets, partly due to the extreme leverage, partly due to the intense attention. And positioning techniques that prove reliable in the action of the long-term trends in other instruments tend to fail in the countertrend reactions of the highly leveraged S&P futures contract within the short-term. For the informed trader, tremendous opportunities in these intraday trend swings can be captured. This book will show you how. Filled with detailed technical models, this reliable resource skillfully utilizes innovative methodologies for trend discovery and trade entry in mini-stock index futures markets. It offers a fresh approach to understanding and capitalizing on market volatility, allowing you to sort out the apparent chaos of the day trading environment through codified and recognizable trade entry setups. Highlights trading techniques that are anything but mechanical scalping Explores conceptual event models and their accompanying rules Contains tools by which major intraday swing trends can be identified quickly and often at the very turning points where they begin Explains the underlying order and structure to the markets based on the repetitive nature of human behavior Engaging and informative, this reliable resource will put you in a better position to excel in today's dynamic markets.
Professional Java EE Design Patterns
Автор: Murat Yener
Год издания:
Master Java EE design pattern implementation to improve your design skills and your application’s architecture Professional Java EE Design Patterns is the perfect companion for anyone who wants to work more effectively with Java EE, and the only resource that covers both the theory and application of design patterns in solving real-world problems. The authors guide readers through both the fundamental and advanced features of Java EE 7, presenting patterns throughout, and demonstrating how they are used in day-to-day problem solving. As the most popular programming language in community-driven enterprise software, Java EE provides an API and runtime environment that is a superset of Java SE. Written for the junior and experienced Java EE developer seeking to improve design quality and effectiveness, the book covers areas including: Implementation and problem-solving with design patterns Connection between existing Java SE design patterns and new Java EE concepts Harnessing the power of Java EE in design patterns Individually-based focus that fully explores each pattern Colorful war-stories showing how patterns were used in the field to solve real-life problems Unlike most Java EE books that simply offer descriptions or recipes, this book drives home the implementation of the pattern to real problems to ensure that the reader learns how the patterns should be used and to be aware of their pitfalls. For the programmer looking for a comprehensive guide that is actually useful in the everyday workflow, Professional Java EE Design Patterns is the definitive resource on the market.
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Memorandum to the Government of the United States on the Recognition of the Ukrainian People's Republic
A Statistical Inquiry Into the Nature and Treatment of Epilepsy
Roster and Statistical Record of Company D, of the Eleventh Regiment Maine Infantry Volunteers