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Adaptive Learning of Polynomial Networks : Genetic Programming, Backpropagation and Bayesian Methods
This book provides theoretical and practical knowledge for develop ment of algorithms that infer linear and nonlinear models. It offers a methodology for inductive learning of polynomial neural network mod els from data. The design of such tools contributes to better statistical data modelling when addressing tasks from various areas like system identification, chaotic time-series prediction, financial forecasting and data mining. The main claim is that the model identification process involves several equally important steps: finding the model structure, estimating the model weight parameters, and tuning these weights with respect to the adopted assumptions about the underlying data distrib ution. When the learning process is organized according to these steps, performed together one after the other or separately, one may expect to discover models that generalize well.
Active Knowledge Modeling of Enterprises
An AKM solution is about exploiting the Web as a knowledge engineering medium, and developing knowledge-model-based families of platforms, model-configured workplaces and services.
Active Conceptual Modeling of Learning : Next Generation Learning-Base System Development
This volume contains a collection of the papers presented during the 1st International ACM-L Workshop, which was held on November 8, 2006 during the 25th International Conference on Conceptual Modeling, ER 2006, held November 6–9,2006, in Tucson, Arizona, plus several invited papers.These papers plus the invited papers represent the current thinking in conceptual modeling research, The active model can only be realized through technology integration (e.g., AI, software engineering, information technology,cognitive science, art and sciences, philosophy, etc.)
Abstraction, refinement and proof for probabilistic systems
Probabilistic techniques are increasingly being employed in computer programs and systems because they can increase efficiency in sequential algorithms, enable otherwise nonfunctional distribution applications, and allow quantification of risk and safety in general. This makes operational models of how they work, and logics for reasoning about them, extremely important. Abstraction, Refinement and Proof for Probabilistic Systems presents a rigorous approach to modeling and reasoning about computer systems that incorporate probability. Its foundations lie in traditional Boolean sequential-program logic—but its extension to numeric rather than merely true-or-false judgments takes it much further, into areas such as randomized algorithms, fault tolerance, and, in distributed systems, almost-certain symmetry breaking. The presentation begins with the familiar "assertional" style of program development and continues with increasing specialization: Part I treats probabilistic program logic, including many examples and case studies; Part II sets out the detailed semantics; and Part III applies the approach to advanced material on temporal calculi and two-player games.
Abstract Computing Machines : A Lambda Calculus Perspective
The book addresses ways and means of organizing computations, highlighting the relationship between algorithms and the basic mechanisms and runtime structures necessary to execute them using machines. It completely abstracts from concrete programming languages and machine architectures, taking instead the lambda calculus as the basic programming and program execution model to design various abstract machines for its correct implementation. The emphasis is on fully normalizing machines based on full-fledged beta-reductions as essential prerequisites for symbolic computations that treat functions and variables truly as first-class objects. Their weakly normalizing counterparts are shown to be functional abstract machines that sacrifice the flavors of full beta-reductions for decidedly simpler runtime structures and improved runtime efficiency. Further downgrading of the lambda calculus leads to classical imperative machines that permit side-effecting operations on the runtime environment.
A Platform-Centric Approach to System-on-Chip (SOC) Design
The book proposes a new methodology for realizing platform-centric design of complex systems, and presents a detailed plan for its implementation. The proposed plan allows component vendors, system integrators and product developers to collaborate effectively and efficiently to create complex products within budget and schedule constraints.
A Graph-Theoretic Approach to Enterprise Network Dynamics
This monograph treats the application of numerous graph-theoretic algorithms to a comprehensive analysis of dynamic enterprise networks. Network dynamics analysis yields valuable information about network performance, efficiency, fault prediction, cost optimization, indicators and warnings.
A General introduction to data analytics
A guide to the principles and methods of data analysis that does not require knowledge of statistics or programming. A guide to the reasoning behind data mining techniques. A unique illustrative example that extends throughout all the chapters. Exercises at the end of each chapter and larger projects at the end of each of the text’s two main parts
A First Course in Statistical Inference
Offers a modern and accessible introduction to Statistical Inference, the science of inferring key information from data. Aimed at beginning undergraduate students in mathematics, it presents the concepts underpinning frequentist statistical theory. Written in a conversational and informal style, this concise text concentrates on ideas and concepts, with key theorems stated and proved. Detailed worked examples are included and each chapter ends with a set of exercises, with full solutions given at the back of the book. Examples using R are provided throughout the book, with a brief guide to the software included. Topics covered in the book include: sampling distributions, properties of estimators, confidence intervals, hypothesis testing, ANOVA, and fitting a straight line to paired data.
A Concise Introduction to Software Engineering
This text focuses on the essential elements, providing readers with the basic skills and introductory knowledge required to execute a software project successfully.
A Classical Introduction to Cryptography : Applications for Communications Security
This advanced-level textbook covers conventional cryptographic primitives and cryptanalysis of these primitives; basic algebra and number theory for cryptologists; public key cryptography and cryptanalysis of these schemes; and other cryptographic protocols, e.g. secret sharing, zero-knowledge proofs and undeniable signature schemes.
3-D Shape Estimation and Image Restoration : Exploiting Defocus and Motion-Blur
Images contain information about the spatial properties of the scene they depict. When coupled with suitable assumptions, images can be used to infer three-dimensional information. This useful volume concentrates on motion blur and defocus, which can be exploited to infer the 3-D structure of a scene—as well as its radiance properties—and which in turn can be used to generate novel images with better quality. 3-D Shape Estimation and Image Restoration presents a coherent framework for the analysis and design of algorithms to estimate 3-D shape from defocused and motion blurred images, and to eliminate defocus and motion blur to yield "restored" images. It provides a collection of algorithms that are optimal with respect to the chosen model and estimation criterion.
Materials, Chemicals and Methods for Dental Applications
Focuses on the materials used for dental applications looking at the fundamental issues and the developments that have taken place the past decade. While it provides a broad overview of dental materials, the chemicals that are used for the preparation and fabrication of dental materials are explained as well. Also, the desired properties of these materials are discussed and the relevance of the chemical, physical, and mechanical properties is elucidated. Methods for the characterization and classification, as well as clinical studies are reviewed here. In particular, materials for dental crowns, implants, toothpaste compositions, mouth rinses, as well as materials for toothbrushes and dental floss are discussed. For example, in toothpaste compositions, several classes of materials an chemcials are incorporated, such as abrasives, detergents, humectants, thickeners, sweeteners, coloring agents, bad breath reduction agents, flavoring agents, tartar control agents, and others. These chemicals, together with their structures, are detailed in the text.
Mandibular Implant Prostheses
Combines up-to-date clinical and research information that will help clinicians to advance their theoretical and clinical knowledge on mandibular implant overdentures. Furthermore, it describes treatment considerations for geriatric populations, covering all relevant aspects from physiology to treatment planning and patient management in the surgical and prosthetic phases.
Lippincott's Concise Illustrated Anatomy ; Vol.3
Presents human gross anatomy in an efficient, easy-to-use format by combining core, need-to-know content with detailed atlas-style illustrations. This volume focuses on anatomical structures and functions of the head and neck, and includes clinical considerations concerning these important regions. With artwork adopted from the Lippincott Williams & Wilkins Atlas of Anatomy as well as new illustrations, understanding the functional and clinical relevance of anatomy has never been more at hand!
Learning the language of dentistry : disciplinary corpora in the teaching of English for specific academic purposes
Explores the affordances of disciplinary corpora for the teaching and learning of the language of dentistry, within the field of English for Specific Academic Purposes (ESAP). We extract disciplinary register features and vocabulary from three key genres of the dentistry discipline (published experimental research articles, case reports, and novice/professional research reports within the Dental Public Health domain), before integrating these features into ESAP pedagogy in the form of corpus-based ESAP materials that promote student-led direct engagement with disciplinary corpora – an approach known as 'data-driven learning'. This book is a timely and relevant addition to the field of corpus linguistics and ESAP, and is especially targeted at ESAP professionals who are required to teach disciplinary discourses but who may struggle to know what to teach as non-experts of the target discipline.
Complications in Cranio-Maxillofacial and Oral Surgery
This superbly illustrated book equips readers with a detailed, up-to-date understanding of the surgical and nonsurgical complications that may arise during cranio-maxillofacial and oral surgery for a range of conditions, including malformations, infections, trauma, and tumors.
Complex dental implant complications
This book offers up-to-date guidance in the diagnosis and management of the various complex complications that may be encountered during or after the placement of dental implants. The aim is to raise the awareness of clinicians regarding such complications and to equip them with the knowledge needed in order to deal with complications promptly and effectively.
Clinical oral medicine and pathology
The book has been well received internationally by a wide audience of clinicians, including general dentists, oral surgeons, otolaryngologists, primary care physicians, nurse practitioners, dental hygienists, physician assistants, and dermatologists, and sales have been strong among students and post-graduate residents training in medical, dental, and allied health fields, supporting the versatility of this work and serving as testimony to its value in both the academic and private practice arenas. Several key updates and improvements have been made to the second edition. All informational content has been updated to ensure accuracy and relevance, particularly in the rapidly evolving fields of oncology and pharmacology. A new chapter has been added entitled "Oral Sequelae of Cancer and Cancer Therapy" which better organizes and consolidates previous content while expanding on topics such as targeted therapies and hematopoietic stem cell transplantation. Additional clinical images have been included throughout the book so that the full clinical spectrum of any given condition is well-represented. Furthermore, the print quality, as well as the positioning and layout of the clinical images has been improved for optimal utility. Lastly, the summary boxes that follow each condition have been reconfigured with color-coded icons for improved definition, ease of use and cross-referencing.
Clinical oral anatomy : A comprehensive review for dental practitioners and researchers
Presents the most current and comprehensive review of oral anatomy for clinicians and researchers alike. In 26 chapters, the reader is taken on a unique anatomical journey, starting with the oral fissure, continuing via the maxilla and mandible to the tongue and floor of the mouth, and concluding with the temporomandibular joint and masticatory muscles. Each chapter offers a detailed description of the relevant anatomical structures and their spatial relationships, provides quantitative morphological assessments, and explains the relevance of the region for clinical dentistry. All dental health care professionals require a sound knowledge of anatomy for the purposes of diagnostics, treatment planning, and therapeutic intervention. A full understanding of the relationship between anatomy and clinical practice is the ultimate objective, and this book will enable the reader to achieve such understanding as the basis for provision of the best possible treatment for each individual patient as well as recognition and comprehension of unexpected clinical findings.
