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Statistical Analysis of Graph Structures in Random Variable Networks

of algorithms of network structure identification with applications to market network analysis. For this, a mathematical model of random variable;

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Statistical and Machine Learning Approaches for Network Analysis

weighted graph kernel Statistical and Machine Learning Approaches for Network Analysis is an excellent supplemental text for graduate-level, cross;

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Combinatorial Computational Biology of RNA

* analysis of neutral networks of pseudo knotted RNA structures and their random graph theory, including neutral paths, giant components and;

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Random Networks for Communication

network? And how do you approach these questions - and others - when the network is random? The analysis of communication networks requires a;

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Spectral Clustering And Biclustering

Explores regular structures in graphs and contingency tables by spectral theory and statistical methods This book bridges the gap between;

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Recent Developments in Multivariate and Random Matrix Analysis

papers. The contents of the papers evolve around multivariate analysis and random matrices with topics such as high-dimensional analysis;

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Large Deviations for Random Graphs

This book addresses the emerging body of literature on the study of rare events in random graphs and networks. For example, what does a;

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Introduction to Graph Neural Networks

Graphs are useful data structures in complex real-life applications such as modeling physical systems, learning molecular fingerprints;

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Introduction to Graph Neural Networks

interpretability, GNN has recently become a widely applied graph analysis tool. Variants for different graph types and advanced training methods are;

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Fractals, Random Shapes and Point Fields

demonstrates important modern methods for the statistical analysis of random shapes. The statistical theory of point fields, with and without marks;

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Graph Representation Learning

, recommender systems, question answering, and social network analysis. This book provides a synthesis and overview of graph representation;

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Biological Network Analysis

Biological Network Analysis: Trends, Approaches, Graph Theory, and Algorithms considers three major biological networks, including Gene;

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Graph Spectra for Complex Networks

Analyzing the behavior of complex networks is an important element in the design of new man-made structures such as communication systems;

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Graph Spectra for Complex Networks

Analyzing the behavior of complex networks is an important element in the design of new man-made structures such as communication systems;

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Statistical Techniques for Transportation Engineering

analysis topics, from the introductory level (basic probability, measures of dispersion, random variable, discrete and continuous distributions;

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Probability Distributions of a Single Random Variable

The material given provides basic statistical techniques required by students of engineering, computer science and business studies. The;

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Graph Theoretic Methods in Multiagent Networks

This accessible book provides an introduction to the analysis and design of dynamic multiagent networks. Such networks are of great;

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Structural Analysis in the Social Sciences

mathematical foundations and then generalizes blockmodeling for the analysis of many types of network structures. Examples are used throughout the text;

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Graph Algorithms And Applications 4

to the publication of high-quality research papers on the analysis, design, implementation, and applications of graph algorithms. Areas;

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Complex Networks

graph theory have proven to be powerful in investigating the structures of complex networks, few books focus on the algorithmic aspects;

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Complex Networks

graph theory have proven to be powerful in investigating the structures of complex networks, few books focus on the algorithmic aspects;

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Quantitative Graph Theory

theory, information theory, measurement theory, and statistical techniques, this book covers a wide range of quantitative-graph theoretical;

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Quantitative Graph Theory

theory, information theory, measurement theory, and statistical techniques, this book covers a wide range of quantitative-graph theoretical;

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Top Down Design of Disordered Photonic Structures

bandgap with strong modal localization, switching of random waves for binary and fuzzy logics, photonic analogy of graph networks;

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Quality Research in Literacy and Science Education

Statistical models attempt to describe and quantify relationships between variables. In the models presented in this chapter, there is a;

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Quality Research in Literacy and Science Education

Statistical models attempt to describe and quantify relationships between variables. In the models presented in this chapter, there is a;

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Algorithms and Models for the Web Graph

This book constitutes the refereed proceedings of the 9th International Workshop on Algorithms and Models for the Web-Graph, WAW 2012, held;

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