Proceedings of the 1993 Connectionist Models Summer School PDF Download

Author: Michael C. Mozer
Publisher: Psychology Press
ISBN: 1317780523
Category : Psychology
Languages : en
Pages : 428

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Book Description
The result of the 1993 Connectionist Models Summer School, the papers in this volume exemplify the tremendous breadth and depth of research underway in the field of neural networks. Although the slant of the summer school has always leaned toward cognitive science and artificial intelligence, the diverse scientific backgrounds and research interests of accepted students and invited faculty reflect the broad spectrum of areas contributing to neural networks, including artificial intelligence, cognitive science, computer science, engineering, mathematics, neuroscience, and physics. Providing an accurate picture of the state of the art in this fast-moving field, the proceedings of this intense two-week program of lectures, workshops, and informal discussions contains timely and high-quality work by the best and the brightest in the neural networks field.

Author: Ashwin Ram
Publisher: Routledge
ISBN: 1317729250
Category : Psychology
Languages : en
Pages : 1819

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Book Description
This volume features the complete text of all regular papers, posters, and summaries of symposia presented at the 16th annual meeting of the Cognitive Science Society.

Author: Stephen Slade
Publisher: Routledge
ISBN: 1351335375
Category : Business & Economics
Languages : en
Pages : 165

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Book Description
Originally published in 1996 as a special issue journal, Artificial Intelligence Applications on Wall Street, presents a series of articles derived from papers at the Third International Conference on Artificial Intelligence Applications on Wall Street. The volume addresses how Artificial Intelligence can be used to address the variety of issues in that arise in the world of investments, such as synthetic instruments, forecasting and surveillance. It examines the potential problems surrounding economic assumption of rationality in a global market, and how artificial intelligence can push the bounds of rationality.

Author: Gerald Tesauro
Publisher: MIT Press
ISBN: 9780262201049
Category : Computers
Languages : en
Pages : 1180

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Book Description
November 28-December 1, 1994, Denver, Colorado NIPS is the longest running annual meeting devoted to Neural Information Processing Systems. Drawing on such disparate domains as neuroscience, cognitive science, computer science, statistics, mathematics, engineering, and theoretical physics, the papers collected in the proceedings of NIPS7 reflect the enduring scientific and practical merit of a broad-based, inclusive approach to neural information processing. The primary focus remains the study of a wide variety of learning algorithms and architectures, for both supervised and unsupervised learning. The 139 contributions are divided into eight parts: Cognitive Science, Neuroscience, Learning Theory, Algorithms and Architectures, Implementations, Speech and Signal Processing, Visual Processing, and Applications. Topics of special interest include the analysis of recurrent nets, connections to HMMs and the EM procedure, and reinforcement- learning algorithms and the relation to dynamic programming. On the theoretical front, progress is reported in the theory of generalization, regularization, combining multiple models, and active learning. Neuroscientific studies range from the large-scale systems such as visual cortex to single-cell electrotonic structure, and work in cognitive scientific is closely tied to underlying neural constraints. There are also many novel applications such as tokamak plasma control, Glove-Talk, and hand tracking, and a variety of hardware implementations, with particular focus on analog VLSI.

Author: Marco Wiering
Publisher: Springer Science & Business Media
ISBN: 3642276458
Category : Technology & Engineering
Languages : en
Pages : 653

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Book Description
Reinforcement learning encompasses both a science of adaptive behavior of rational beings in uncertain environments and a computational methodology for finding optimal behaviors for challenging problems in control, optimization and adaptive behavior of intelligent agents. As a field, reinforcement learning has progressed tremendously in the past decade. The main goal of this book is to present an up-to-date series of survey articles on the main contemporary sub-fields of reinforcement learning. This includes surveys on partially observable environments, hierarchical task decompositions, relational knowledge representation and predictive state representations. Furthermore, topics such as transfer, evolutionary methods and continuous spaces in reinforcement learning are surveyed. In addition, several chapters review reinforcement learning methods in robotics, in games, and in computational neuroscience. In total seventeen different subfields are presented by mostly young experts in those areas, and together they truly represent a state-of-the-art of current reinforcement learning research. Marco Wiering works at the artificial intelligence department of the University of Groningen in the Netherlands. He has published extensively on various reinforcement learning topics. Martijn van Otterlo works in the cognitive artificial intelligence group at the Radboud University Nijmegen in The Netherlands. He has mainly focused on expressive knowledge representation in reinforcement learning settings.

Author: Sebastian Thrun
Publisher: Springer Science & Business Media
ISBN: 1461313813
Category : Computers
Languages : en
Pages : 274

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Book Description
Lifelong learning addresses situations in which a learner faces a series of different learning tasks providing the opportunity for synergy among them. Explanation-based neural network learning (EBNN) is a machine learning algorithm that transfers knowledge across multiple learning tasks. When faced with a new learning task, EBNN exploits domain knowledge accumulated in previous learning tasks to guide generalization in the new one. As a result, EBNN generalizes more accurately from less data than comparable methods. Explanation-Based Neural Network Learning: A Lifelong Learning Approach describes the basic EBNN paradigm and investigates it in the context of supervised learning, reinforcement learning, robotics, and chess. `The paradigm of lifelong learning - using earlier learned knowledge to improve subsequent learning - is a promising direction for a new generation of machine learning algorithms. Given the need for more accurate learning methods, it is difficult to imagine a future for machine learning that does not include this paradigm.' From the Foreword by Tom M. Mitchell.

Author: Paul van den Broek
Publisher: Routledge
ISBN: 1135449821
Category : Language Arts & Disciplines
Languages : en
Pages : 442

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Book Description
This book is about building metaphorical bridges--all sorts of bridges. At the most basic level, it concerns the bridges that individuals build to understand the events that they experience--the bridges that connect the events in the mind's eye. At another level, it is about bridges that interconnect findings and theoretical frameworks concerning event comprehension and representation in different age groups, ranging from infancy to adulthood. Finally, it is about building bridges between researchers who share interests, yet may not ordinarily even be aware of each other's work. The success of the book will be measured in terms of the extent to which the contributors have been able to create a picture of the course of development across a wide span in chronological age, and across different types of events, from the fictional to the actual. The individuals whose work is represented in this book conduct their work in a shared environment--they all have an intellectual and scholarly interest in event comprehension and representation. These interests are manifest in the overlapping themes of their work. These include a focus on how people come to temporally integrate individual "snapshots" to form a coherent event that unfolds over time, to understand cause and effect, and to appreciate the role of the goal of events. Another overlapping theme involves the possibility of individual differences. These themes are apparent in work on the early development of representations of specific episodes and autobiographical memories, and comprehension of complex events such as stories involving multiple characters and emotions. The editors of this volume had two missions: * to create a development span by bringing together researchers working from infancy to adulthood, and * to create a bridge between individuals working from within the text comprehension perspective, within the naturalistic perspective, and with laboratory analogues to the naturalistic perspective. Their measure of success will be the extent to which they have been able to create a picture of the course of development across a wide span in chronological age, and across different types of events--from fictional to actual.

Author: Miriam Drake
Publisher: CRC Press
ISBN: 9780824720773
Category : Language Arts & Disciplines
Languages : en
Pages : 922

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Book Description
A revitalized version of the popular classic, the Encyclopedia of Library and Information Science, Second Edition targets new and dynamic movements in the distribution, acquisition, and development of print and online media-compiling articles from more than 450 information specialists on topics including program planning in the digital era, recruitment, information management, advances in digital technology and encoding, intellectual property, and hardware, software, database selection and design, competitive intelligence, electronic records preservation, decision support systems, ethical issues in information, online library instruction, telecommuting, and digital library projects.

Author: Guido Tascini
Publisher: World Scientific
ISBN: 9814547921
Category :
Languages : en
Pages : 218

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Book Description
As perception stands for the acquisition of a real world representation by interaction with an environment, learning is the modification of this internal representation.This book highlights the relation between perception and learning and describes the influence of the learning in the interaction with the environment.Besides, this volume contains a series of applications of both machine learning and perception, where the former is often embedded in the latter and vice-versa.Among the topics covered, there are visual perception for autonomous robots, model generation of visual patterns, attentional reasoning, genetic approaches and various categories of neural networks.

Author: Emanuele Ogliari
Publisher: MDPI
ISBN: 303921098X
Category : Technology & Engineering
Languages : en
Pages : 180

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Book Description
Photovoltaics, among the different renewable energy sources (RES), has become more popular. In recent years, however, many research topics have arisen as a result of the problems that are constantly faced in smart-grid and microgrid operations, such as forecasting of the output of power plant production, storage sizing, modeling, and control optimization of photovoltaic systems. Computational intelligence algorithms (evolutionary optimization, neural networks, fuzzy logic, etc.) have become more and more popular as alternative approaches to conventional techniques for solving problems such as modeling, identification, optimization, availability prediction, forecasting, sizing, and control of stand-alone, grid-connected, and hybrid photovoltaic systems. This Special Issue will investigate the most recent developments and research on solar power systems. This Special Issue “Computational Intelligence in Photovoltaic Systems” is highly recommended for readers with an interest in the various aspects of solar power systems, and includes 10 original research papers covering relevant progress in the following (non-exhaustive) fields: Forecasting techniques (deterministic, stochastic, etc.); DC/AC converter control and maximum power point tracking techniques; Sizing and optimization of photovoltaic system components; Photovoltaics modeling and parameter estimation; Maintenance and reliability modeling; Decision processes for grid operators.