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Tree-based Graph Partitioning Constraint

(such as precedence relations or incomparability relations between nodes) involved in practical applications. Precisely, Tree-based Graph;

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Graph Partitioning

Graph partitioning is a theoretical subject with applications in many areas, principally: numerical analysis, programs mapping onto;

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Efficient Memoization Algorithms for Query Optimization

is the execution order of join operations in ist operator tree, since the runtime of plans with different join orders can vary by several orders;

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Constraint-Based Reasoning

Constraint-based reasoning is an important area of automated reasoning in artificial intelligence, with many applications. These include;

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Graph Structures for Knowledge Representation and Reasoning

papers feature current research involved in the development and application of graph-based knowledge representation formalisms and reasoning;

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Reasoning with Probabilistic and Deterministic Graphical Models

algorithms for reasoning with such models. The main feature exploited by the algorithms is the model's graph. We present inference-based, message;

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Reasoning with Probabilistic and Deterministic Graphical Models

algorithms for reasoning with such models. The main feature exploited by the algorithms is the model's graph. We present inference-based, message;

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Reasoning with Probabilistic and Deterministic Graphical Models

algorithms for reasoning with such models. The main feature exploited by the algorithms is the model's graph. We present inference-based, message;

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Graph Structures for Knowledge Representation and Reasoning

papers feature current research involved in the development and application of graph-based knowledge representation formalisms and reasoning;

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A Graph Theoretic Approach to Heterogeneous Data Clustering

-clustering. First, we propose a semantic-based hierarchical image clustering framework based on multi-user feedback. By treating each user as an;

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Creativity in Load-Balance Schemes for Multi/Many-Core Heterogeneous Graph Computing

-balance schemes for heterogeneous graph processing, and trends and challenges in large-scale HPC network analysis''--;

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Algorithms and Ordering Heuristics for Distributed Constraint Satisfaction Problems

DisCSP (Distributed Constraint Satisfaction Problem) is a general framework for solving distributed problems arising in Distributed;

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Autonomous Search

focused on tuning algorithm parameters, autonomous complete (tree-based) constraint solvers, autonomous control in metaheuristics and heuristics;

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Graphs and Matrices

graphs, algebraic connectivity, the distance matrix of a tree, and its generalized version for arbitrary graphs, known as the resistance matrix;

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Graph Algorithms And Applications 3

, constraint systems, databases, graph drawing, graph embedding and layout, knowledge representation, multimedia, software engineering;

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Graph Algorithms And Applications 5

, constraint systems, databases, graph drawing, graph embedding and layout, knowledge representation, multimedia, software engineering;

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Matrix Methods in Data Mining and Pattern Recognition

. Building on material from the first edition, the author discusses basic graph concepts and their matrix counterparts. He introduces the graph;

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Graph Algorithms And Applications 4

, constraint systems, databases, graph drawing, graph embedding and layout, knowledge representation, multimedia, software engineering;

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Constraint-Based Techniques to Support Electronic TV Network Design

constraint-based data model to support the design of Hybrid Fibre Coaxial (HFC) for electronic TV network. The book also shows how the proposed;

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Graph Drawing and Network Visualization

. They were organized in topical sections named: large graphs and clutter avoidance; clustered graphs; planar graphs, layered and tree drawings;

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Graph-Based Representations in Pattern Recognition

This book constitutes the refereed proceedings of the 10th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern;

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Ant Colony Optimization and Constraint Programming

complete tree search approaches and metaheuristics, and shows how they can be integrated within constraint programming languages. The second part;

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Stratified Data Partitioning in Artificial Neural Network

partitioning method was evaluated in comparison with Self organizing map, fuzzy clustering and genetic algorithm based data partitioning methods. It;

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A Java Library of Graph Algorithms and Optimization

Because of its portability and platform-independence, Java is the ideal computer programming language to use when working on graph;

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A Java Library of Graph Algorithms and Optimization

Because of its portability and platform-independence, Java is the ideal computer programming language to use when working on graph;

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Data structures based on linear relations

list, tree as well as graph. This book can be used as an undergraduate textbook, as a training textbook or a self-study textbook for engineers.;

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Constraint-Based Grammar Formalisms

Constraint-based theories of grammar and grammar formalisms are becoming an increasingly widespread area of research in computational;

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