Graph Theory Computational Intelligence And Thought
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Graph Theory Computational Intelligence And Thought
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Author : Marina Lipshteyn
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-07-27
Graph Theory Computational Intelligence And Thought written by Marina Lipshteyn and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-07-27 with Computers categories.
Martin Charles Golumbic has been making seminal contributions to algorithmic graph theory and artificial intelligence throughout his career. He is universally admired as a long-standing pillar of the discipline of computer science. He has contributed to the development of fundamental research in artificial intelligence in the area of complexity and spatial-temporal reasoning as well as in the area of compiler optimization. Golumbic's work in graph theory led to the study of new perfect graph families such as tolerance graphs, which generalize the classical graph notions of interval graph and comparability graph. He is credited with introducing the systematic study of algorithmic aspects in intersection graph theory, and initiated research on new structured families of graphs including the edge intersection graphs of paths in trees (EPT) and trivially perfect graphs. Golumbic is currently the founder and director of the Caesarea Edmond Benjamin de Rothschild Institute for Interdisciplinary Applications of Computer Science at the University of Haifa. He also served as chairman of the Israeli Association of Artificial Intelligence (1998-2004), and founded and chaired numerous international symposia in discrete mathematics and in the foundations of artificial intelligence. This Festschrift volume, published in honor of Martin Charles Golumbic on the occasion of his 60th birthday, contains 20 papers, written by graduate students, research collaborators, and computer science colleagues, who gathered at a conference on subjects related to Martin Golumbic's manifold contributions in the field of algorithmic graph theory and artificial intelligence, held in Jerusalem, Tiberias and Haifa, Israel in September 2008.
Graph Theory Computational Intelligence And Thought
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Author : Marina Lipshteyn
language : en
Publisher: Springer
Release Date : 2009-07-20
Graph Theory Computational Intelligence And Thought written by Marina Lipshteyn and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-07-20 with Computers categories.
Martin Charles Golumbic has been making seminal contributions to algorithmic graph theory and artificial intelligence throughout his career. He is universally admired as a long-standing pillar of the discipline of computer science. He has contributed to the development of fundamental research in artificial intelligence in the area of complexity and spatial-temporal reasoning as well as in the area of compiler optimization. Golumbic's work in graph theory led to the study of new perfect graph families such as tolerance graphs, which generalize the classical graph notions of interval graph and comparability graph. He is credited with introducing the systematic study of algorithmic aspects in intersection graph theory, and initiated research on new structured families of graphs including the edge intersection graphs of paths in trees (EPT) and trivially perfect graphs. Golumbic is currently the founder and director of the Caesarea Edmond Benjamin de Rothschild Institute for Interdisciplinary Applications of Computer Science at the University of Haifa. He also served as chairman of the Israeli Association of Artificial Intelligence (1998-2004), and founded and chaired numerous international symposia in discrete mathematics and in the foundations of artificial intelligence. This Festschrift volume, published in honor of Martin Charles Golumbic on the occasion of his 60th birthday, contains 20 papers, written by graduate students, research collaborators, and computer science colleagues, who gathered at a conference on subjects related to Martin Golumbic's manifold contributions in the field of algorithmic graph theory and artificial intelligence, held in Jerusalem, Tiberias and Haifa, Israel in September 2008.
Graph Representation Learning
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Author : William L. Hamilton
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2020-09-16
Graph Representation Learning written by William L. Hamilton and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-16 with Computers categories.
This book is a foundational guide to graph representation learning, including state-of-the art advances, and introduces the highly successful graph neural network (GNN) formalism. Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry. Building relational inductive biases into deep learning architectures is crucial for creating systems that can learn, reason, and generalize from this kind of data. Recent years have seen a surge in research on graph representation learning, including techniques for deep graph embeddings, generalizations of convolutional neural networks to graph-structured data, and neural message-passing approaches inspired by belief propagation. These advances in graph representation learning have led to new state-of-the-art results in numerous domains, including chemical synthesis, 3D vision, recommender systems, question answering, and social network analysis. It begins with a discussion of the goals of graph representation learning as well as key methodological foundations in graph theory and network analysis. Following this, the book introduces and reviews methods for learning node embeddings, including random-walk-based methods and applications to knowledge graphs. It then provides a technical synthesis and introduction to the highly successful graph neural network (GNN) formalism, which has become a dominant and fast-growing paradigm for deep learning with graph data. The book concludes with a synthesis of recent advancements in deep generative models for graphs -- a nascent but quickly growing subset of graph representation learning.
Possibility Thinking Explorations In Logic And Thought
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Author : JUSTIN COSLOR
language : en
Publisher: Lulu.com
Release Date : 2015-11-03
Possibility Thinking Explorations In Logic And Thought written by JUSTIN COSLOR and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-03 with Reference categories.
This book pertains largely to the topic of Epistemology; i.e. Mathematics, Computer Science, Artificial Intelligence, Knowledge Representation, Context, and Formal Systems. The author Justin M. Coslor is currently the Minister of Intelligence of the Formalized Research Database: Cluster, Study, and Apply (FRD: CSA); an ongoing Artificial Intelligence ontological systems integration effort primarily designed, put together, and implemented by the creative and technical genius Andrew J. Dougherty. See HTTP: //FRDCSA.ORG and HTTP: //PICFORM.ORG (Note: there are some errors in this text, and other human errors. JMC) POSSIBILITY THINKING: EXPLORATIONS IN LOGIC AND THOUGHT (SECOND EDITION) ISBN: 9781257808519 Printed in Paperba
Theory And Applications Of Models Of Computation
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Author : Jan Kratochvil
language : en
Publisher: Springer
Release Date : 2010-06-01
Theory And Applications Of Models Of Computation written by Jan Kratochvil and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-06-01 with Computers categories.
Annotation This book constitutes the refereed proceedings of the 7th InternationalConference on Theory and Applications of Models of Computation, TAMC2010, held in Prague, Czech Republic, in June 2010.The 35 revised full papers presented together with 5 contributions ofspecial sessions as well as 2 plenary talks were carefully reviewed andselected from 76 submissions. The papers address the three main themesof the conference which were computability, complexity, and algorithmsand present current research in these fields with aspects to theoreticalcomputer science, algorithmic mathematics, and applications to thephysical sciences.
Graph Theoretic Concepts In Computer Science
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Author : Christophe Paul
language : en
Publisher: Springer
Release Date : 2009-12-03
Graph Theoretic Concepts In Computer Science written by Christophe Paul and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-12-03 with Computers categories.
The 35th International Workshop on Graph-Theoretic Concepts in Computer Science (WG 2009) took place at Montpellier (France), June 24–26 2009. About 80 computer scientists from all over the world (Australia, Belgium, Canada, China, Czech Republic, France, Germany, Greece, Israel, Japan, Korea, The Netherlands, Norway, Spain, UK, USA) attended the conference. Since1975,ithastakenplace20timesinGermany,fourtimesinTheNeth- lands, twice in Austria, as well as once in Italy, Slovakia, Switzerland, the Czech Republic, France, Norway, and the UK. The conference aims at uniting theory and practice by demonstrating how graph-theoretic concepts can be applied to various areas in computer science, or by extracting new problems from appli- tions. The goal is to present recent research results and to identify and explore directions of future research. The conference is well-balanced with respect to established researchers and young scientists. There were 69 submissions. Each submission was reviewed by at least three, and on average four, Program Committee members. The Committee decided to accept 28 papers. Due to the competition and the limited schedule, some good papers could not be accepted. Theprogramalsoincludedexcellentinvitedtalks:onegivenbyDanielKràlon “AlgorithmsforClassesofGraphswithBoundedExpansion,” the otherbyDavid Eppsteinon“Graph-TheoreticSolutionstoComputationalGeometryProblems.” The proceedings contains two survey papers on these topics.
Graph Theoretic Concepts In Computer Science
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Author : Andreas Brandstädt
language : en
Publisher: Springer
Release Date : 2018-09-01
Graph Theoretic Concepts In Computer Science written by Andreas Brandstädt and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-01 with Computers categories.
This book constitutes the revised selected papers of the 44th International Workshop on Graph-Theoretic Concepts in Computer Science, WG 2018, held in Cottbus, Germany, in June 2018. The 30 full papers presented in this volume were carefully reviewed and selected from 66 submissions. They cover a wide range of areas, aiming at connecting theory and applications by demonstrating how graph-theoretic concepts can be applied in various areas of computer science. Another focus is on presenting recent results and on identifying and exploring promising directions of future research.
Logics In Artificial Intelligence
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Author : Francesco Calimeri
language : en
Publisher: Springer
Release Date : 2019-05-06
Logics In Artificial Intelligence written by Francesco Calimeri and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-06 with Computers categories.
This book constitutes the proceedings of the 16th European Conference on Logics in Artificial Intelligence, JELIA 2019, held in Rende, Italy, in May 2019. The 50 full papers and 10 short papers included in this volume were carefully reviewed and selected from 101 submissions. Additionally, the book contains 3 invited papers. The accepted papers span a number of areas within Logics in AI, including: belief revision and argumentation; causal, defeasible and inductive reasoning; conditional, probabilistic and propositional logic; description logics; logic programming; modal and default logic; and temporal logic.
Automata Languages And Programming
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Author : Samson Abramsky
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-06-30
Automata Languages And Programming written by Samson Abramsky and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-06-30 with Computers categories.
The two-volume set LNCS 6198 and LNCS 6199 constitutes the refereed proceedings of the 37th International Colloquium on Automata, Languages and Programming, ICALP 2010, held in Bordeaux, France, in July 2010. The 106 revised full papers (60 papers for track A, 30 for track B, and 16 for track C) presented together with 6 invited talks were carefully reviewed and selected from a total of 389 submissions. The papers are grouped in three major tracks on algorithms, complexity and games; on logic, semantics, automata, and theory of programming; as well as on foundations of networked computation: models, algorithms and information management. LNCS 6198 contains 60 contributions of track A selected from 222 submissions as well as 2 invited talks.
Latin 2010 Theoretical Informatics
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Author : Alejandro López-Ortiz
language : en
Publisher: Springer
Release Date : 2010-04-22
Latin 2010 Theoretical Informatics written by Alejandro López-Ortiz and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-04-22 with Computers categories.
This book constitutes the refereed proceedings of the 9th International Latin American Symposium on Theoretical Informatics, LATIN 2010, held in Oaxaca, Mexico; in April 2010. The 56 revised full papers presented together with the abstracts of 4 invited plenary talks were carefully reviewed and selected from 155 submissions. The papers address a variety of topics in theoretical computer science with a certain focus on algorithms, automata theory and formal languages, coding theory and data compression, algorithmic graph theory and combinatorics, complexity theory, computational algebra, computational biology, computational geometry, computational number theory, cryptography, theoretical aspects of databases and information retrieval, data structures, networks, logic in computer science, machine learning, mathematical programming, parallel and distributed computing, pattern matching, quantum computing and random structures.