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Comparative Analysis of Prediction Algorithms

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Analysis on Prediction of Swine Flu Using Machine Learning Algorithms

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Trust-based Collective View Prediction

prediction, such as state-of-the-art recommender systems, sentimental analysis, collective view, trust management, the Relationship of Collective;

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Prediction Methods for Blood Glucose Concentration

avoiding the damaging effects of unpredicted swings in blood glucose - accurate prediction enables the implementation of counter-measures. The;

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Prediction Methods for Blood Glucose Concentration

avoiding the damaging effects of unpredicted swings in blood glucose - accurate prediction enables the implementation of counter-measures. The;

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Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning

wide range of topics including clinical decision support systems, biomedical image analysis, and prediction models, this book is ideally;

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Genomic Sequence Analysis for Exon Prediction Using Adaptive Signal Processing Algorithms

types of gene prediction methods, followed by a review of literature starting with the biological background of genomic sequence analysis. Next;

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Intelligent Computing Theories and Application

Expression Array Analysis; Systems Biology; Modeling, Simulation, and Optimization of Biological Systems; Intelligent Computing in Computational;

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Text Analysis in Python for Social Scientists

analysis. Prediction algorithms have become steadily more powerful, especially with the advent of neural network methods. However, applying these;

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Intelligent Computing Theories and Application

processing; nature inspired computing and optimization; intelligent control and automation; intelligent data analysis and prediction; computer vision;

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Intelligent Computing Methodologies

processing; nature inspired computing and optimization; intelligent control and automation; intelligent data analysis and prediction; computer vision;

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Intelligent Computing Theories and Application

processing; nature inspired computing and optimization; intelligent control and automation; intelligent data analysis and prediction; computer vision;

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An Introduction to Numerical Analysis

An Introduction to Numerical Analysis is designed for a first course on numerical analysis for students of Science and Engineering;

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Compact Handbook of Computational Biology

, techniques, and challenges of biomolecular sequence analysis, biopolymer structure analysis and prediction, genomics, and molecular evolution;

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Algorithms in Bioinformatics

selected papers cover a wide range of topics from networks, tophylogenetic studies, sequence and genome analysis, comparative genomics, and mass;

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Guide to Graph Algorithms

comparative analysis of sequential, parallel and distributed graph algorithms - including algorithms for big data - and an investigation into the;

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Prediction of Protein Structures, Functions, and Interactions

for predicting the functions of proteins that have been deduced by sequence analysis and lack experimental characterization. Prediction;

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A Metaheuristic Approach to Protein Structure Prediction

This book introduces characteristic features of the protein structure prediction (PSP) problem. It focuses on systematic selection and;

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Battery Management Algorithm for Electric Vehicles

state of health (SOH) estimation, state of power (SOP) estimation, remaining useful life (RUL) prediction, heating at low temperature, and;

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Battery Management Algorithm for Electric Vehicles

state of health (SOH) estimation, state of power (SOP) estimation, remaining useful life (RUL) prediction, heating at low temperature, and;

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Path Planning Algorithms for Mobile Robots

A comparative analysis of three most commonly used path planning algorithms, i.e. A* Algorithm, Genetic Algorithm and Ant Colony;

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Algorithmic Learning in a Random World

This book is about conformal prediction, an approach to prediction that originated in machine learning in the late 1990s. The main feature;

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Genome Informatics 2009

structure prediction, genetic regulatory networks, bioinformatic algorithms, comparative genomics, and biomolecular data integration and analysis;

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Computational Molecular Biology

methods for analysis, processing and archiving. This requirement has given birth to the truly interdisciplinary field of computational biology, or;

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Algorithms in Bioinformatics

cover a wide range of topics from networks to phylogenetic studies, sequence and genome analysis, comparative genomics, and RNA structure.;

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Prediction, Learning, and Games

comprehensive treatment of the problem of predicting individual sequences. Unlike standard statistical approaches to forecasting, prediction;

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Data Algorithms

and machine learning solutions for problems in bioinformatics, genomics, statistics, and social network analysis. This book also includes an;

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