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Models and Algorithms for Biomolecules and Molecular Networks

of biomolecules, systems biology, advanced models, and algorithms * Sampling techniques for estimating evolutionary rates and generating molecular;

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Algorithms and Models for the Web Graph

This book constitutes the refereed proceedings of the 10th International Workshop on Algorithms and Models for the Web Graph, WAW 2013;

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Algorithms and Models for the Web Graph

This book constitutes the proceedings of the 13th International Workshop on Algorithms and Models for the Web Graph, WAW 2016, held;

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Algorithms and Models for the Web Graph

This book constitutes the proceedings of the 14th International Workshop Algorithms and Models for the Web Graph, WAW 2017, held in Toronto;

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Algorithms and Models for the Web Graph

This book constitutes the refereed proceedings of the 11th International Workshop on Algorithms and Models for the Web Graph, WAW 2014;

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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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Modeling and Reasoning with Bayesian Networks

includes advanced methods for compiling Bayesian networks, time-space tradeoffs, and exploiting local structure of massively connected networks;

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Modeling and Reasoning with Bayesian Networks

includes advanced methods for compiling Bayesian networks, time-space tradeoffs, and exploiting local structure of massively connected networks;

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Stochastic Modelling of Reactionâ Diffusion Processes

mathematics and computations with biology and chemistry. The book can be used both for self-study and as a supporting text for advanced undergraduate;

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Stochastic Modelling of Reaction-Diffusion Processes

mathematics and computations with biology and chemistry. The book can be used both for self-study and as a supporting text for advanced undergraduate;

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Molecular Biology

are carbohydrates, lipids, nucleic acids and peptides. This book on molecular biology seeks to enumerate the cellular function of biomolecules;

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Fundamentals Of Network Biology

, networks, etc) of network biology, construction and analysis of biological networks, methods for identifying crucial nodes in biological networks;

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Molecular Dynamics

for classical MD* Deals with complex systems: biomolecules, aqueous solutions, ice and clathrates, liquid crystals, polymers* Provides;

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Deep Neural Networks

WASD neuronet models, three-input WASD neuronet models, and general multi-input WASD neuronet models for function data approximations;

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Deep Neural Networks

WASD neuronet models, three-input WASD neuronet models, and general multi-input WASD neuronet models for function data approximations;

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Algorithms for Sensor Systems

This book constitutes revised selected papers from the 14th International Symposium on Algorithms and Experiments for Wireless Sensor;

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Algorithms for Sensor Systems

This book constitutes revised selected papers from the 13th International Symposium on Algorithms and Experiments for Wireless Sensor;

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Trends in Deep Learning Methodologies

, image processing, and more. In recent years, many powerful algorithms have been developed for matching patterns in data and making;

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Algorithms & Tools for Parallel Computing on Heterogeneous Clusters

This book features chapters which explore algorithms, programming languages, systems, tools and theoretical models aimed at high;

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Position Location Techniques and Applications

> David Muoz is Director and Csar Vargas is a member of the Center for Electronics and Telecommunications, Tecnolgico;

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Network Models for Control and Processing

This book provides a powerful tool for collecting and correlating related bodies of research in modelling control and processing;

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Evolutionary Algorithms For Mobile Ad Hoc Networks

Describes how evolutionary algorithms (EAs) can be used to identify, model, and minimize day-to-day problems that arise for researchers;

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Elements of Artificial Neural Networks

contiguous fields and can easily serve as a first course for students in economics and management. The opening chapter sets the stage, presenting the;

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Advanced Deep Learning with R

Discover best practices for choosing, building, training, and improving deep learning models using Keras-R, and TensorFlow-R libraries Key;

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Biological Network Analysis

databases for generating, representing and analyzing graphical data. As a wide variety of algorithms have been developed to analyze and compare;

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Intelligent Random Walk

applications of this type of random walk algorithm, particularly as an efficient prediction model for large-scale networks such as peer-to-peer and;

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Computational Methods to Study the Structure and Dynamics of Biomolecules and Bi

of biomolecules and biomolecular processes. It is organized in four main parts; the first one deals with methodology of molecular simulations; the second;

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