الصفحة 23
الصفحة 23
Advances in Big Data Analytics : Theory, Algorithms and Practices
Provides a comprehensive and cutting-edge study on big data analytics, based on the research findings and applications developed by the author and his colleagues in related areas. It addresses the concepts of big data analytics and/or data science, multi-criteria optimization for learning, expert and rule-based data analysis, support vector machines for classification, feature selection, data stream analysis, learning analysis, sentiment analysis, link analysis, and evaluation analysis. The book also explores lessons learned in applying big data to business, engineering and healthcare. Lastly, it addresses the advanced topic of intelligence-quotient (IQ) tests for artificial intelligence.
Advances in artificial life ; 8th European Conference, ECAL 2005 , Canterbury, UK, September 5-9, 2005, Proceedings
The Artificial Life term appeared more than 20 years ago . Since then the area has developed dramatically, many researchersjoining enthusiastically and research groups sprouting everywhere.a conceptual track, where papers were judged on criteria like importance and/or novelty of the concepts proposed rather than the experimental / theoretical results, has been introduced this year. A conference on a theme as broad as Artificial Life is bound to be very di-verse, but a few tendencies emerged. First, fields like ‘Robotics and Autonomous Agents’ or ‘Evolutionary Computation’are still extremely active and keep onbringing a wealth of results to the A-Life community. Even there, however, new tendencies appear, like collective robotics, and more specifically self-assembling robotics, which represent now a large subsection. Second, new areas appear.‘Morphogenesis and Development’ which used to be the subject of only a fewpapers, is now one of the largest subsections, and seems to be on the brinkof becoming a field of its own. Finally, most classical themes of A-Life re-search like ‘Artificial Chemistry’, ‘Ant-Inspired Systems’, ‘Cellular Automata’,‘Self-Replication’, ‘Social Simulations’ or ‘Bio-realist Simulations’ are still goingstrong and are well represented within this volume.
Advances in Artificial Intelligence ; Vol. 4013 : 19th Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2006, Quebec City, Quebec, Canada, June 7-9, Proceedings
Constitutes the refereed proceedings of the 4th Hellenic Conference on Artificial Intelligence, SETN 2006, held at Heraklion, Crete, Greece in May 2006. The 43 revised full papers and extended abstracts of 34 revised short papers presented together with 2 invited contributions were carefully reviewed and selected from 125 submissions. The papers address any area of artificial intelligence; particular fields of interest include; logic programming, knowledge-based systems, intelligent information retrieval, machine learning, neural nets, genetic algorithms, data mining and knowledge discovery, hybrid intelligent systems and methods, intelligent agents, multi-agent systems, intelligent distributed systems, intelligent/natural interactivity, intelligent virtual environments, planning, scheduling, and robotics.
Advances in Artificial Intelligence ; Vol. 3955 : 4th Helenic Conference on AI, SETN 2006, Heraklion, Crete, Greece, May 18-20, 2006, Proceedings
Constitutes the refereed proceedings of the 4th Hellenic Conference on Artificial Intelligence, SETN 2006, held at Heraklion, Crete, Greece in May 2006. The 43 revised full papers and extended abstracts of 34 revised short papers presented together with 2 invited contributions were carefully reviewed and selected from 125 submissions. The papers address any area of artificial intelligence; particular fields of interest include; logic programming, knowledge-based systems, intelligent information retrieval, machine learning, neural nets, genetic algorithms, data mining and knowledge discovery, hybrid intelligent systems and methods, intelligent agents, multi-agent systems, intelligent distributed systems, intelligent/natural interactivity, intelligent virtual environments, planning, scheduling, and robotics.
Advances in Ad Hoc and Sensor Networks
This volume provides a complete survey of the state-of-the-art research that encompasses all areas of ad hoc and sensor networks. These chapters focus on the theoretical and experimental study of advanced research topics involving security and trust, broadcasting and multicasting, power control and energy efficiency, and QoS provisioning.
Advanced Wired and Wireless Networks
ADVANCED WIRED AND WIRELESS NETWORKS brings the reader a sample of recent research efforts representative of advances in the areas of recognized importance for the future Internet, In Part I, we bring ad-hoc networking closer to the reality of practical use. The focus is on more advanced scalable routing suitable for large networks, directed flooding useful in information dissemination networks, as well as self-configuration and security issues important in practical deployments. Part II illustrates the efforts towards development of advanced mobility support techniques (beyond traditional "mobile phone net") and Mobile IP technologies. The issues range from prediction based mobility support, through context transfer during Mobile IP handoff, to service provisioning platforms for heterogeneous networks. The focus of the final section concerns the performance of networks and protocols. Furthermore this section illustrates researchers’ interest in protocol enhancement requests for improved performance with advanced networks, reliable and efficient multicast methods in unreliable networks, and composite scheduling in programmable/active networks where computing resources equal network performance as transmission bandwidth.
Advanced functional programming ; 5th International School, AFP 2004, Tartu, Estonia, August 14-21, 2004, Revised Lectures
Contains the revised lecture notes corresponding to nine of thelecture courses presented at the 5th International School on Advanced Functional Programming, AFP 2004, held in Tartu, Estonia, August 14–21, 2004. The goal of the AFP schools is to inform the wide international communitiesof computer science students and software production professionals about thenew and important developments in the area of functional programming. The schools put a special emphasis on practical applications of advanced techniques.
Advanced distributed systems ; 5th International School and Symposium, ISSADS 2005, Guadalajara, Mexico, January 24-28, 2005, Revised Selected Papers
Poses the papers accepted and presented at the 5th Int- national School and Symposium on Advanced Distributed Systems (ISSADS) in this LNCS volume. The papers presented in the sessions of the symposium cover the subjects of distributed systems from the system level and applications, but also contributions from the area of theory and artificial intelligence concepts.
Advanced concepts for intelligent vision systems ; Vol. 3708 ; 7th International conference, ACIVS 2005, Antwerp, Belgium, September 20-23, 2005, Proceedings
"Thisvolumecollectsthepapersacceptedforpresentationatthe7thInternational Conferenceon Advanced Conceptsfor IntelligentVision Systems (ACIVS 2005). ThoughACIVS is a conference on all areas in image processing, one of its major domains is image and video compression. A third of the selected papers dealt with compression, motion estimation, moving object detection and other video applications. This year, topics related to clustering, pattern recognition and biometrics constituted another third of the conference. The last third was more related to the fundamentals of image processing, namely noise reduction, ?ltering, restorationandimagesegmentation.We wouldliketothankthe invited speakers Fernando Pereira"
Advanced Autonomic Networking and Communication
This book presents a comprehensive reference of state-of-the-art efforts and early results in the area of autonomic networking and communication.
Advanced artificial intelligence models and its applications
The field of artificial intelligence (AI) has undergone enormous expansion since its inception in the mid-20th century, as demonstrated by its application across an array of engineering and scientific challenges. Particularly in the last decade, AI has witnessed a significant breakthrough with the advent of deep learning, which has facilitated the employment of various AI models across a multitude of domains. This reprint features ten papers accepted for publication in the Special Issue titled "Advanced Artificial Intelligence Models and Their Applications," published in the MDPI Mathematics journal. These papers explore numerous facets of advanced artificial intelligence models and their applications, covering areas such as cybersecurity, image classification, logistics optimization, automatic music generation, human capital investment, writer recognition, remote sensing image indexing, target tracking, and more.
Ad-Hoc, mobile, and wireless networks ; Vol. 4104 ; 5th International Conference, ADHOC-NOW 2006, Ottawa, Canada, August 17-19, 2006 Proceedings
The 5th International Conference on Adhoc, Mobile and Wireless Networks (Adhoc-Now 2006) was held during August 17–19, 2006, in Ottawa, Canada. The ?rst four conferences in this series were held in Toronto (2002), Montreal (2003), Vancouver (2004) and Cancun (2005), respectively. The purpose of this conference is to provide a forum for researchers from academia/industry and practitioners to meet and exchange ideas regarding recent developments in the areas of ad hoc wireless networks. We received more than 170 papers for the conference submitted by authors from the following 25 countries: Australia, Bangladesh, Brazil, Canada, China, France, Germany, Greece, India, Iran, Ireland, Italy, Korea, Malaysia, Mexico, Nepal, Norway,Poland, Spain, Taiwan, The Netherlands, Turkey, UK, USA and Venezuela. Each paper was assignedto three members of the Technical Program Committee (TPC).
Adaptive Multimedia Retrieval : User, Context, and Feedback ; 4th International Workshop, AMR 2006, Geneva, Switzerland, July, 27-28, 2006, Revised Selected Papers
This book constitutes the thoroughly refereed post-proceedings of the 4th International Workshop on Adaptive Multimedia Retrieval, AMR 2006, held in Geneva, Switzerland in July 2006. this book provides a good and conclusive overview of the current research in the area of adaptive information retrieval.
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.
Adaptive and natural computing algorithms ; Proceedings of the International Conference in Coimbra, Portugal, 2005
The ICANNGA series of Conferences has been organised since 1993 and has a long history of promoting the principles and understanding of computational intelligence paradigms within the scientific community and is a reference for established workers in this area.and this book about Proceedings of the International Conference in Coimbra, Portugal, 2005 including Topics Artificial Intelligence Simulation and Modeling / Mathematics of Computing / Computer Applications
Adaptive and Natural Computing Algorithms ; 8th International Conference, ICANNGA 2007, Warsaw, Poland, April 11-14, 2007, Proceedings, Part II
The ICANNGA series of conferences has been organized since 1993 and has a long history of promoting the principles and understanding of computational intelligence paradigms within the scientifc community. the ICANNGA series has established itself as a reference for scientists and practitioners in this area. The series has also been of value to young researchers wishing both to extend their knowledge and experience and to meet experienced professionals in their ?elds. In a rapidly advancing world, where technology and engineering change d- matically, new challenges in computer science compel us to broaden the c- ference scope in order to take into account new developments.
Adaptive agents and multi-agent systems II : Adaptation and multi-agent learning
Adaptive agents and multi-agent systems is an emerging and exciting interdisciplinary area of research and development involving artificial intelligence, software engineering, and developmental biology, as well as cognitive and social science. This book presents 17 revised and carefully reviewed papers taken from two workshops on the topic as well as 2 invited papers by leading researchers in the area. The papers deal with various aspects of machine learning, adaptation, and evolution in the context of agent systems and autonomous agents.
Ada 2005 Rationale : The Language, The Standard Libraries
The primary goals for this book were to enhance its capabilities particularly in those areas where its reliability and predictability are of great value. Accordingly, a number of intriguing and attractive ideas have been included and implemented in a coherent manner as appropriate to the level of perfection necessary for the diligent maintenance of a language standard.
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.
A Practical Guide for SystemVerilog Assertions
SystemVerilog language consists of three very specific areas of constructs - design, assertions and testbench. This guide shows how to use the language to solve real verification problems. It examines how to verify complex protocols and memories using SVA with seeral examples.
