Conceptual Graphs (CG, www.conceptualgraphs.org) provide a powerful knowledge
representation and inference environment, whilst exhibiting the familiar objectoriented
and database features of contemporary enterprise and web applications. CG
capture nuances in natural language whilst being able to be implemented in computer...
The explosive growth of application areas such as electronic commerce, enterprise
resource planning and mobile computing has profoundly and irreversibly
changed our views on software systems. Nowadays, software is to be based on
open architectures that continuously change and evolve to accommodate new
components and meet new...
Now updated—your expert guide to twenty-first century information security
Information security is a rapidly evolving field. As businesses and consumers become increasingly dependent on complex multinational information systems, it is more imperative than ever to protect the confidentiality and integrity of data....
The two parts of this book treat probability and statistics as mathematical disciplines and with the same degree of rigour as is adopted for other branches of applied mathematics at the level of a British honours degree. They contain the minimum information about these subjects that any honours graduate in mathematics ought to know. They are...
The use of computed tomography (CT) has seen enormous growth over the past decade.
In the US, approximately 63 million examinations were performed in 2005 (Niagara
Health Quality Coalition 2004) compared to 35 million in 2000. The increased number
of clinical applications (e.g., in emergency and trauma, paediatric, cardiac, and...
Some information and knowledge are usually represented by human language
like “about 100km”, “approximately 39 ?C”, “roughly 80kg”, “low speed”,
“middle age”, and “big size”. Perhaps some people think that they are subjective
probability or they are fuzziness....
We describe in this book, bio-inspired models and applications of hybrid intelligent
systems using soft computing techniques for image analysis and pattern recognition
based on biometrics and other information sources. Soft Computing (SC)
consists of several intelligent computing paradigms, including fuzzy logic, neural
networks,...
This book presents a mathematically-based introduction into the fascinating topic of Fuzzy Sets and Fuzzy Logic and might be used as textbook at both undergraduate and graduate levels and also as reference guide for mathematician, scientists or engineers who would like to get an insight into Fuzzy Logic.
This author's modern approach is intended primarily for honors undergraduates or undergraduates with a good math background taking a mathematical statistics or statistical inference course. The author takes a finite-dimensional functional modeling viewpoint (in contrast to the conventional parametric approach) to strengthen the connection...
This mathematically oriented introduction to the theory of logic programming presents a systematic exposition of the resolution method for propositional, first-order, and Horn- clause logics, together with an analysis of the semantic aspects of the method. It is through the inference rule of resolution that both proofs and computations can be...
This Bayesian modeling book provides a self-contained entry to computational Bayesian statistics. Focusing on the most standard statistical models and backed up by real datasets and an all-inclusive R (CRAN) package called bayess, the book provides an operational methodology for conducting Bayesian inference, rather than focusing on its...
Although they are believed to be unsolvable in general, tractability results suggest that some practical NP-hard problems can be efficiently solved. Combinatorial search algorithms are designed to efficiently explore the usually large solution space of these instances by reducing the search space to feasible regions and using heuristics to...
