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,...

Forty-three of the leading experts in this burgeoning field have assembled to produce an exciting review of the many advances to date. The volume reviews the creation of computer models of neural function, of cognition, memory, and vision. The results and future directions explored here will have an important bearing on research into brain...

Traditional books on machine learning can be divided into two groups ― those aimed at advanced undergraduates or early postgraduates with reasonable mathematical knowledge and those that are primers on how to code algorithms. The field is ready for a text that not only demonstrates how to use the algorithms that make up machine learning...

​Neurocysticercosis (neural infection by larvae of Taenia solium) occurs when humans become intermediate hosts of the tapeworm Taenia solium after ingesting its eggs. The disease is now the most common helminthic infection of the nervous system in humans, and its prevalence has risen significantly even in countries where it was...

The purpose of the book is to bring together in one place the different facets of regenerative biology and medicine while providing the reader with an overview of the basic and clinically-oriented research that is being done. Not only does the content cover a plethora tissues and systems, it also includes information about the developmental...

• Understand the different phases of data mining, along with the tools used at each stage
• Explore the different data mining algorithms in depth
• Become...

Fashion Branding and Consumer Behaviors presents eye-opening theory, literature review and original research on the mutual influence of branding strategies and consumer response. Contributors use multiple methods to analyze consumers' psychosocial needs and the extent that their fulfillment goes beyond the usefulness or value of...

JMP 12 Specialized Models provides details about modeling techniques such as partitioning, neural networks, nonlinear regression, and time series analysis. Topics include the Gaussian platform, which is useful in analyzing computer simulation experiments. The book also covers the Response Screening platform, which is useful in testing the...

From elicitation, pretexting, influence and manipulation all aspects of social engineering are picked apart, discussed and explained by using real world examples, personal experience and the science behind them to unraveled the...

This book offers a state of the art collection covering themes related to Advanced Intelligent Computational Technologies and Decision Support Systems which can be applied to fields like healthcare assisting the humans in solving problems. The book brings forward a wealth of ideas, algorithms and case studies in themes like:...