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4th Neural Computation And Psychology Workshop London 9 11 April 1997
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Book Synopsis 4th Neural Computation and Psychology Workshop, London, 9–11 April 1997 by : John A: Bullinaria
Download or read book 4th Neural Computation and Psychology Workshop, London, 9–11 April 1997 written by John A: Bullinaria and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume collects together refereed versions of twenty-five papers presented at the 4th Neural Computation and Psychology Workshop, held at University College London in April 1997. The "NCPW" workshop series is now well established as a lively forum which brings together researchers from such diverse disciplines as artificial intelligence, mathematics, cognitive science, computer science, neurobiology, philosophy and psychology to discuss their work on connectionist modelling in psychology. The general theme of this fourth workshop in the series was "Connectionist Repre sentations", a topic which not only attracted participants from all these fields, but from allover the world as well. From the point of view of the conference organisers focusing on representational issues had the advantage that it immediately involved researchers from all branches of neural computation. Being so central both to psychology and to connectionist modelling, it is one area about which everyone in the field has their own strong views, and the diversity and quality of the presentations and, just as importantly, the discussion which followed them, certainly attested to this.
Book Synopsis Connectionist Models of Learning, Development and Evolution by : Robert M. French
Download or read book Connectionist Models of Learning, Development and Evolution written by Robert M. French and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: Connectionist Models of Learning, Development and Evolution comprises a selection of papers presented at the Sixth Neural Computation and Psychology Workshop - the only international workshop devoted to connectionist models of psychological phenomena. With a main theme of neural network modelling in the areas of evolution, learning, and development, the papers are organized into six sections: The neural basis of cognition Development and category learning Implicit learning Social cognition Evolution Semantics Covering artificial intelligence, mathematics, psychology, neurobiology, and philosophy, it will be an invaluable reference work for researchers and students working on connectionist modelling in computer science and psychology, or in any area related to cognitive science.
Book Synopsis Connectionist Models of Cognition and Perception by : John Andrew Bullinaria
Download or read book Connectionist Models of Cognition and Perception written by John Andrew Bullinaria and published by World Scientific. This book was released on 2002 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: Connectionist Models of Cognition and Perception collects together refereed versions of twenty-three papers presented at the Seventh Neural Computation and Psychology Workshop (NCPW7). This workshop series is a well-established and unique forum that brings together researchers from such diverse disciplines as artificial intelligence, cognitive science, computer science, neurobiology, philosophy and psychology to discuss their latest work on connectionist modelling in psychology.The articles have the main theme of connectionist modelling of cognition and perception, and are organised into six sections, on: cell assemblies, representation, memory, perception, vision and language. This book is an invaluable resource for researchers interested in neural models of psychological phenomena.
Book Synopsis Self-Organising Neural Networks by : Mark Girolami
Download or read book Self-Organising Neural Networks written by Mark Girolami and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: The conception of fresh ideas and the development of new techniques for Blind Source Separation and Independent Component Analysis have been rapid in recent years. It is also encouraging, from the perspective of the many scientists involved in this fascinating area of research, to witness the growing list of successful applications of these methods to a diverse range of practical everyday problems. This growth has been due, in part, to the number of promising young and enthusiastic researchers who have committed their efforts to expanding the current body of knowledge within this field of research. The author of this book is among one of their number. I trust that the present book by Dr. Mark Girolami will provide a rapid and effective means of communicating some of these new ideas to a wide international audience and that in turn this will expand further the growth of knowledge. In my opinion this book makes an important contribution to the theory of Independent Component Analysis and Blind Source Separation. This opens a range of exciting methods, techniques and algorithms for applied researchers and practitioner engineers, especially from the perspective of artificial neural networks and information theory. It has been interesting to see how rapidly the scientific literature in this area has grown.
Book Synopsis Principles of Neural Model Identification, Selection and Adequacy by : Achilleas Zapranis
Download or read book Principles of Neural Model Identification, Selection and Adequacy written by Achilleas Zapranis and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural networks have had considerable success in a variety of disciplines including engineering, control, and financial modelling. However a major weakness is the lack of established procedures for testing mis-specified models and the statistical significance of the various parameters which have been estimated. This is particularly important in the majority of financial applications where the data generating processes are dominantly stochastic and only partially deterministic. Based on the latest, most significant developments in estimation theory, model selection and the theory of mis-specified models, this volume develops neural networks into an advanced financial econometrics tool for non-parametric modelling. It provides the theoretical framework required, and displays the efficient use of neural networks for modelling complex financial phenomena. Unlike most other books in this area, this one treats neural networks as statistical devices for non-linear, non-parametric regression analysis.
Book Synopsis Neural Networks for Conditional Probability Estimation by : Dirk Husmeier
Download or read book Neural Networks for Conditional Probability Estimation written by Dirk Husmeier and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: Conventional applications of neural networks usually predict a single value as a function of given inputs. In forecasting, for example, a standard objective is to predict the future value of some entity of interest on the basis of a time series of past measurements or observations. Typical training schemes aim to minimise the sum of squared deviations between predicted and actual values (the 'targets'), by which, ideally, the network learns the conditional mean of the target given the input. If the underlying conditional distribution is Gaus sian or at least unimodal, this may be a satisfactory approach. However, for a multimodal distribution, the conditional mean does not capture the relevant features of the system, and the prediction performance will, in general, be very poor. This calls for a more powerful and sophisticated model, which can learn the whole conditional probability distribution. Chapter 1 demonstrates that even for a deterministic system and 'be nign' Gaussian observational noise, the conditional distribution of a future observation, conditional on a set of past observations, can become strongly skewed and multimodal. In Chapter 2, a general neural network structure for modelling conditional probability densities is derived, and it is shown that a universal approximator for this extended task requires at least two hidden layers. A training scheme is developed from a maximum likelihood approach in Chapter 3, and the performance ofthis method is demonstrated on three stochastic time series in chapters 4 and 5.
Book Synopsis Connectionist Models in Cognitive Neuroscience by : Dietmar Heinke
Download or read book Connectionist Models in Cognitive Neuroscience written by Dietmar Heinke and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: 1. Introdudion This volume collects together the refereed versions of 25 papers presented at the 5th Neural Computation and Psychology Workshop (NCPW5), held at the University of Birmingham from the 8th until the lOth of September 1998. The NCPW is a well-established, lively forum, which brings together researchers from a range of disciplines (artificial intelligence, mathematics, cognitive science, computer science, neurobiology, philosophy and psychology), all of whom are interested in the application of neurally-inspired (connectionist) models to topics in psychology. The theme of the 5th workshop in the series was Connectionist models in cognitive neuroscience', and the workshop aimed to bring together papers focused on the inter-relations between functional (psychological) accounts of cognition and neural accounts of underlying brain processes, linked by connectionist models. From the very beginnings of modern psychology, with the work of William James and his contemporaries, researchers have believed it important to relate behavioural analyses to neurological underpinnings. However, with the advent of connectionist modelling, where models are at least inspired by neuronal processes, this enterprise has received a new boost. With this volume, we hope that this volume adds one further mosaic stone to this ambitious objective, of unifying functional and neuronal accounts of performance.
Book Synopsis Neural Nets WIRN VIETRI-97 by : Maria Marinaro
Download or read book Neural Nets WIRN VIETRI-97 written by Maria Marinaro and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains selected papers from WIRN VIETRI-97, the 9th Italian Workshop on Neural Nets, held Vietri sul Mare, Salerno, Italy, from 22-24 May 1997. The papers cover a variety of topics related to neural networks, including pattern recognition, signal processing, theoretical models, applications in science and industry, virtual reality, fuzzy systems, and software algorithms. = By providing the reader with a comprehensive overview of recent research work in this area, the volume makes an invaluab le contribution to the Perspectives in Neural Computing Series. Neural Nets - WIRN VIETRI-97 will provide invaluable reading material for anyone who needs to keep up to date with the latest developments in neural networks and related areas. It will be of particular interest to academic and industrial researchers, and postgraduate and graduate students.
Book Synopsis Neural Nets WIRN Vietri-99 by : Maria Marinaro
Download or read book Neural Nets WIRN Vietri-99 written by Maria Marinaro and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: From its early beginnings in the fifties and sixties, the field of neural networks has been steadily developing to become one of the most interdisciplinary areas of research within computer science. This volume contains a selection of papers from WIRN Vietri-99, the 11th Italian Workshop on Neural Nets. This annual event, sponsored, amongst others, by the IEEE Neural Networks Council and the INNS/SIG Italy, brings together the best of research from all over the world. The papers cover a range of topics within neural networks, including pattern recognition, signal and image processing, mathematical models, neuro-fuzzy models and economics applications.
Book Synopsis Neural Nets WIRN VIETRI-98 by : Maria Marinaro
Download or read book Neural Nets WIRN VIETRI-98 written by Maria Marinaro and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: From its early beginnings in the fifties and sixties, the field of neural networks has been steadily developing to become one of the most interdisciplinary areas of research within computer science. This volume contains selected papers from WIRN Vietri-98, the 10th Italian Workshop on Neural Nets, 21-23 May 1998, Vietri sul Mare, Salerno, Italy. This annual event, sponsored amongst others by the IEEE Neural Network Council and the INNS/SIG Italy, brings together the best of research from all over the world. The papers cover a range of key topics within neural networks, including pattern recognition, signal processing, hybrid systems, mathematical models, hardware and software design, and fuzzy techniques. It also includes two review talks on a Morpho-Functional Model to Describe Variability Found at Hippocampal Synapses and Neural Networks and Speech Processing. By providing the reader with a comprehensive overview of recent research in this area, the volume makes a valuable contribution to the Perspectives in Neural Computing Series.
Book Synopsis Artificial Neural Networks in Medicine and Biology by : H. Malmgren
Download or read book Artificial Neural Networks in Medicine and Biology written by H. Malmgren and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the proceedings of the conference ANNIMAB-l, held 13-16 May 2000 in Goteborg, Sweden. The conference was organized by the Society for Artificial Neural Networks in Medicine and Biology (ANNIMAB-S), which was established to promote research within a new and genuinely cross-disciplinary field. Forty-two contributions were accepted for presentation; in addition to these, S invited papers are also included. Research within medicine and biology has often been characterised by application of statistical methods for evaluating domain specific data. The growing interest in Artificial Neural Networks has not only introduced new methods for data analysis, but also opened up for development of new models of biological and ecological systems. The ANNIMAB-l conference is focusing on some of the many uses of artificial neural networks with relevance for medicine and biology, specifically: • Medical applications of artificial neural networks: for better diagnoses and outcome predictions from clinical and laboratory data, in the processing of ECG and EEG signals, in medical image analysis, etc. More than half of the contributions address such clinically oriented issues. • Uses of ANNs in biology outside clinical medicine: for example, in models of ecology and evolution, for data analysis in molecular biology, and (of course) in models of animal and human nervous systems and their capabilities. • Theoretical aspects: recent developments in learning algorithms, ANNs in relation to expert systems and to traditional statistical procedures, hybrid systems and integrative approaches.
Book Synopsis Handbook of Missing Persons by : Stephen J. Morewitz
Download or read book Handbook of Missing Persons written by Stephen J. Morewitz and published by Springer. This book was released on 2016-12-19 with total page 585 pages. Available in PDF, EPUB and Kindle. Book excerpt: This ambitious multidisciplinary volume surveys the science, forensics, politics, and ethics involved in responding to missing persons cases. International experts across the physical and social sciences offer data, case examples, and insights on best practices, new methods, and emerging specialties that may be employed in investigations. Topics such as secondary victimization, privacy issues, DNA identification, and the challenges of finding victims of war and genocide highlight the uncertainties and complexities surrounding these cases as well as possibilities for location and recovery. This diverse presentation will assist professionals in accessing new ideas, collaborating with colleagues, and handling missing persons cases with greater efficiency—and potentially greater certainty. Among the Handbook’s topics: ·A profile of missing persons: some key findings for police officers. ·Missing persons investigations and identification: issues of scale, infrastructure, and political will. ·Pregnancy and parenting among runaway and homeless young women. ·Estimating the appearance of the missing: forensic age progression in the search for missing persons. ·The use of trace evidence in missing persons investigations. ·The Investigation of historic missing persons cases: genocide and “conflict time” human rights abuses. The depth and scope of its expertise make the Handbook of Missing Persons useful for criminal justice and forensic professionals, health care and mental health professionals, social scientists, legal professionals, policy leaders, community leaders, and military personnel, as well as for the general public.
Book Synopsis Artificial Neural Networks in Biomedicine by : Paulo J.G. Lisboa
Download or read book Artificial Neural Networks in Biomedicine written by Paulo J.G. Lisboa and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: Following the intense research activIties of the last decade, artificial neural networks have emerged as one of the most promising new technologies for improving the quality of healthcare. Many successful applications of neural networks to biomedical problems have been reported which demonstrate, convincingly, the distinct benefits of neural networks, although many ofthese have only undergone a limited clinical evaluation. Healthcare providers and developers alike have discovered that medicine and healthcare are fertile areas for neural networks: the problems here require expertise and often involve non-trivial pattern recognition tasks - there are genuine difficulties with conventional methods, and data can be plentiful. The intense research activities in medical neural networks, and allied areas of artificial intelligence, have led to a substantial body of knowledge and the introduction of some neural systems into clinical practice. An aim of this book is to provide a coherent framework for some of the most experienced users and developers of medical neural networks in the world to share their knowledge and expertise with readers.
Book Synopsis Combining Artificial Neural Nets by : Amanda J.C. Sharkey
Download or read book Combining Artificial Neural Nets written by Amanda J.C. Sharkey and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume, written by leading researchers, presents methods of combining neural nets to improve their performance. The techniques include ensemble-based approaches, where a variety of methods are used to create a set of different nets trained on the same task, and modular approaches, where a task is decomposed into simpler problems. The techniques are also accompanied by an evaluation of their relative effectiveness and their application to a variety of problems.
Download or read book ICANN 98 written by Lars Niklasson and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 1197 pages. Available in PDF, EPUB and Kindle. Book excerpt: ICANN, the International Conference on Artificial Neural Networks, is the official conference series of the European Neural Network Society which started in Helsinki in 1991. Since then ICANN has taken place in Brighton, Amsterdam, Sorrento, Paris, Bochum and Lausanne, and has become Europe's major meeting in the field of neural networks. This book contains the proceedings of ICANN 98, held 2-4 September 1998 in Skovde, Sweden. Of 340 submissions to ICANN 98, 180 were accepted for publication and presentation at the conference. In addition, this book contains seven invited papers presented at the conference. A conference of this size is obviously not organized by three individuals alone. We therefore would like to thank the following people and organizations for supporting ICANN 98 in one way or another: • the European Neural Network Society and the Swedish Neural Network Society for their active support in the organization of this conference, • the Programme Committee and all reviewers for the hard and timely work that was required to produce more than 900 reviews during April 1998, • the Steering Committee which met in Skovde in May 1998 for the final selection of papers and the preparation of the conference program, • the other Module Chairs: Bengt Asker (Industry and Research), Harald Brandt (Applications), Anders Lansner (Computational Neuroscience and Brain Theory), Thorsteinn Rognvaldsson (Theory), Noel Sharkey (co chair Autonomous Robotics and Adaptive Behavior), Bertil Svensson (Hardware and Implementations), • the conference secretary, Leila Khammari, and the rest of the
Download or read book Face Perception written by Andy Young and published by Psychology Press. This book was released on 2013-01-11 with total page 490 pages. Available in PDF, EPUB and Kindle. Book excerpt: Human faces are unique biological structures that convey a complex variety of important social messages. Even strangers can tell things from our faces – our feelings, our locus of attention, something of what we are saying, our age, sex and ethnic group, whether they find us attractive. In recent years there has been genuine progress in understanding how our brains derive all these different messages from faces and what can happen when one or other of the structures involved is damaged. Face Perception provides an up-to-date, integrative summary by two authors who have helped develop and shape the field over the past 30 years. It encompasses topics as diverse as the visual information our brains can exploit when we look at faces, whether prejudicial attitudes can affect how we see faces, and how people with neurodevelopmental disorders see faces. The material is digested and summarised in a way that is accessible to students, within a structure that focuses on the different things we can do with faces. It offers a compelling synthesis of behavioural, neuropsychological and cognitive neuroscience approaches to develop a distinctive point of view of the area. The book concludes by reviewing what is known about the development of face processing and re-examines the question of what makes faces ‘special’. Written in a clear and accessible style, this is invaluable reading for all students and researchers interested in studying face perception and social cognition.
Book Synopsis Image Processing using Pulse-Coupled Neural Networks by : Thomas Lindblad
Download or read book Image Processing using Pulse-Coupled Neural Networks written by Thomas Lindblad and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: PCNNs represent a new advance in imaging technology, allowing images to be refined to levels well beyond that of the original. This volume provides an introduction to the topic by reviewing the theoretical foundations as well as a number of image processing applications, including segmentation, edge extraction, texture extraction, object identification, object isolation, motion processing, noise suppression, and image fusion. This is the first book to cover PCNN technology, an area which will have many applications in medical, military and industrial imaging.
