Psychopathy is a very important concept for those working in the field of criminal justice - investigators, prosecutors, and those who have to evaluate, manage and treat offenders. In Psychopathy: Theory, Research and Implications for Society, detailed, empirically based contributions by the world's leading researchers describe the relevance of the construct to practical and policy issues, examining its relevance to such topics as treatment, risk management and recidivism. The use of the concept in a range of populations is discussed, including juveniles, children, and the mentally disordered, as well as across cultures. The major strength of the volume is that the validity of the psychopathy construct is enhanced by the extensive empirical support: contributors explore topics including the genetic, biological, affective, interpersonal and information processing models that underpin the disorder. Audience: All those dealing with offenders - psychologists, psychiatrists, lawyers, judges, prison administrators and those who formulate policy in the criminal justice system.

Defines the notion of an activity model learned from sensor data and presents key algorithms that form the core of the field Activity Learning: Discovering, Recognizing and Predicting Human Behavior from Sensor Data provides an in-depth look at computational approaches to activity learning from sensor data. Each chapter is constructed to provide practical, step-by-step information on how to analyze and process sensor data. The book discusses techniques for activity learning that include the following: * Discovering activity patterns that emerge from behavior-based sensor data * Recognizing occurrences of predefined or discovered activities in real time * Predicting the occurrences of activities The techniques covered can be applied to numerous fields, including security, telecommunications, healthcare, smart grids, and home automation. An online companion site enables readers to experiment with the techniques described in the book, and to adapt or enhance the techniques for their own use. With an emphasis on computational approaches, Activity Learning: Discovering, Recognizing, and Predicting Human Behavior from Sensor Data provides graduate students and researchers with an algorithmic perspective to activity learning.

This text takes a focused and comprehensive look at mining data represented as a graph, with the latest findings and applications in both theory and practice provided. Even if you have minimal background in analyzing graph data, with this book you'll be able to represent data as graphs, extract patterns and concepts from the data, and apply the methodologies presented in the text to real datasets.

There is a misprint with the link to the accompanying Web page for this book. For those readers who would like to experiment with the techniques found in this book or test their own ideas on graph data, the Web page for the book should be http: //www.eecs.wsu.edu/MGD.

Psychopathy is a very important concept for those working in the field of criminal justice - investigators, prosecutors, and those who have to evaluate, manage and treat offenders. In Psychopathy: Theory, Research and Implications for Society, detailed, empirically based contributions by the world's leading researchers describe the relevance of the construct to practical and policy issues, examining its relevance to such topics as treatment, risk management and recidivism. The use of the concept in a range of populations is discussed, including juveniles, children, and the mentally disordered, as well as across cultures. The major strength of the volume is that the validity of the psychopathy construct is enhanced by the extensive empirical support: contributors explore topics including the genetic, biological, affective, interpersonal and information processing models that underpin the disorder. Audience: All those dealing with offenders - psychologists, psychiatrists, lawyers, judges, prison administrators and those who formulate policy in the criminal justice system.

This textbook is an introduction to the design and writing of computer programs. It leads the reader through all the stages of program construction from the original specifications through to the final program. The formal verification of intermediate versions of the program is studied in considerable detail. The authors show how, given the formal specification of a program, data structure and program structure diagrams are drawn and then converted into a procedural program in a program design language (PDL). They demonstrate the conversion of PDL into a variety of real programming languages including Pascal, FORTRAN, COBOL, and Assembler. The book also includes chapters on abstract data types, analysing existing programs, and a small case study. First-year undergraduates in computer science and graduates taking courses in computing will find this a comprehensive introduction to program construction.

Computing is an exact science and the systematic study of any aspect necessarily involves the use of mathematical models. Moreover, the rate at which the subject is evolving demands a facility for developing new mathematical systems to keep pace with new computing systems and this requires an appreciation of how mathematics works. An understanding of the underlying mathematical structure facilitates the construction of suitable computer programs to perform computations. Assuming no specific knowledge of mathematics, the authors describe all the basic concepts required and progress from sets (rather than numbers) through a variety of algebraic structures that permit the precise description, specification and subsequent analysis of many problems in computing. The material included provides the essential mathematical foundations for core topics of computer science and extends into the areas of language theory, abstract machine theory and computer geometry. Computer Mathematics will be of interest to undergraduate students of computer science and mathematics, post-graduate computing 'conversion' course students and computer professionals who need an introduction to the mathematics that underpins computer science theory.

The Making of the Modern Law: Legal Treatises, 1800-1926 includes over 20,000 analytical, theoretical and practical works on American and British Law. It includes the writings of major legal theorists, including Sir Edward Coke, Sir William Blackstone, James Fitzjames Stephen, Frederic William Maitland, John Marshall, Joseph Story, Oliver Wendell Holmes, Jr. and Roscoe Pound, among others. Legal Treatises includes casebooks, local practice manuals, form books, works for lay readers, pamphlets, letters, speeches and other works of the most influential writers of their time. It is of great value to researchers of domestic and international law, government and politics, legal history, business and economics, criminology and much more.++++The below data was compiled from various identification fields in the bibliographic record of this title. This data is provided as an additional tool in helping to insure edition identification: ++++Harvard Law School Libraryocm21087053Denver Colo.]: W.F. Robinson Printing Co, 1897. 442 p.: ill., ports.; 24 cm.

This textbook is an introduction to the design and writing of computer programs. It leads the reader through all the stages of program construction from the original specifications through to the final program. The formal verification of intermediate versions of the program is studied in considerable detail. The authors show how, given the formal specification of a program, data structure and program structure diagrams are drawn and then converted into a procedural program in a program design language (PDL). They demonstrate the conversion of PDL into a variety of real programming languages including Pascal, FORTRAN, COBOL, and Assembler. The book also includes chapters on abstract data types, analysing existing programs, and a small case study. First-year undergraduates in computer science and graduates taking courses in computing will find this a comprehensive introduction to program construction.