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Computational Network Theory

This comprehensive introduction to computational network theory as a branch of network theory builds on the understanding that such;

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Computational Learning Theory & Natural Learning Systems V 2 - Intersections Between Theory & Experiment

areas of learning research, computational learning theory, neural network research and symbolic machine learning.;

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Introduction to the Theory of Neural Computation

Comprehensive introduction to the neural network models currently under intensive study for computational applications. It also provides;

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Introduction to the Theory of Neural Computation

Comprehensive introduction to the neural network models currently under intensive study for computational applications. It also provides;

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Computing and Combinatorics

biology, computational learning, communication network, logic, and game theory.;

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Computing and Combinatorics

Structures; Computational Complexity; Approximation Algorithms; Cryptography; Network and Algorithms; Graph Theory and Algorithms; Computational;

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Computing and Combinatorics

algorithm, graph theory, complexity theory, problem solving, optimization, computational biology, computational learning, communication network;

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Neuroscience and Connectionist Theory

overview of how computational network models are being used to model neurobiological phenomena. Each chapter presents a representative example;

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Neuroscience and Connectionist Theory

overview of how computational network models are being used to model neurobiological phenomena. Each chapter presents a representative example;

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Big Data and Computational Intelligence in Networking

computational intelligence in supporting smart network operation, management, and optimization. In particular, the technical focus covers the;

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Network Analysis and Synthesis

synthesis. It explores state-space synthesis as well as analysis, employing modern systems theory to unite the classical concepts of network theory;

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Computational Intelligence in Games

. Computer games are a multi-billion dollar industry. Recent advances in computational intelligence paradigms have generated tremendous interest;

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Advances in Algebra

in March 2017. Presenting theory as well as computational methods, featured survey articles and research papers focus on ongoing research;

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Reaction Rate Theory and Rare Events

, Grote-Hynes theory, transition path theory, non-adiabatic reactions, electron transfer, and topics from reaction network analysis. It is an;

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Recent Advances in Biological Network Analysis

This book reviews recent advances in the emerging field of computational network biology with special emphasis on comparative network;

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WALCOM: Algorithms and Computation

on algorithmic graph theory and combinatorics, computational biology, computational geometry, data structures, experimental algorithm;

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Systems Evolutionary Biology

Systems Evolutionary Biology: Biological Network Evolution Theory, Stochastic Evolutionary Game Strategies, and Applications to Systems;

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Analysis of Complex Networks

such as in systems biology, neuronal network modelling etc. This book follows a new approach of including graph theory from a mathematical;

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Computational Intelligence in Pattern Recognition

computing technologies, clustering and classification algorithms, rough set and fuzzy set theory, evolutionary computations, neural science and;

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Brain Network Analysis

This tutorial reference serves as a coherent overview of various statistical and mathematical approaches used in brain network analysis;

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Foundations of Network Optimization and Games

variational inequality theory. The principle modeling perspectives are network optimization, the theory of Nash games, and mathematical programming;

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Proceedings of First International Conference on Mathematical Modeling and Compu

topics covered in the book are mathematical logic and foundations, numerical analysis, neural networks, fuzzy set theory, coding theory, higher;

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Computational Organization Theory

extend our theoretical understanding of organizations. Authored by leading researchers in the area of computational organization theory, the;

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Computational Organization Theory

extend our theoretical understanding of organizations. Authored by leading researchers in the area of computational organization theory, the;

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Networks in the Global World V

This proceedings book presents state-of-the-art developments in theory, methodology, and applications of network analysis across sociology;

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The Computational Brain

range of neural network models, and consider future directions of the field. The Computational Brain is the first unified and broadly accessible;

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Algorithmic Game Theory

; Computational Aspects of Games; Network Games and Congestion Games; Social Choice; and Matchings and Fair Division.;

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