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Assessing and Improving Prediction and Classification

Assess the quality of your prediction and classification models in ways that accurately reflect their real-world performance, and then;

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The Statistical Evaluation of Medical Tests for Classification and Prediction

, biomarkers and new technologies for classification and prediction in medicine.Readership: Researchers and students in biostatistics (medical;

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Machine Learning for Protein Subcellular Localization Prediction

Comprehensively covers protein subcellular localization from single-label prediction to multi-label prediction, and includes prediction;

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Early Software Reliability Prediction

of each phase and classification of software modules in fault-prone or no fault-prone category are easy to understand, develop and use for any;

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Early Software Reliability Prediction

of each phase and classification of software modules in fault-prone or no fault-prone category are easy to understand, develop and use for any;

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Violence Risk

play a key role in assessing the risk of recidivism. In Violence Risk, Chris Webster and Steve Hucker discuss the accuracy of prediction and;

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Semantic Kriging for Spatio-temporal Prediction

parameters. The spatial and spatio-temporal prediction of these parameters are important for the scientific community, and the semantic kriging (SemK;

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Semantic Kriging for Spatio temporal Prediction

parameters. The spatial and spatio-temporal prediction of these parameters are important for the scientific community, and the semantic kriging (SemK;

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New Approaches of Protein Function Prediction from Protein Interaction Networks

, dynamically selecting prediction domains, predicting functions, and establishing corresponding prediction frameworks. Functional annotation;

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From Valence to Emotions

research. This book investigates the prediction of certain human-related events using valences and emotions expressed in user-generated content;

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Wavelet Neural Networks

financial modeling and financial engineering, time series prediction and construction of confidence and prediction intervals, and classification and;

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Electrochemical Techniques in Corrosion Science and Engineering

corrosion, the development and electrochemical characterization of passivity, and methods in process alteration, failure prediction, and materials;

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Developing VO2max Prediction Models Using Machine Learning Methods

The purpose of this work is to develop VO2max prediction models by using non-exercise, submaximal and hybrid variables by using Support;

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Aerial Threat Perception Using Data Mining

. In this framework data mining and pattern classification techniques are incorporated. This paper focuses on effective prediction by relying on the;

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Transforming the Security Classification System & Improving Declassification

to our nation's security demand particular attention. Current practices for handling classification, declassification, and management;

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Durability of Building Structures and Constructions from Composite Materials

This text deals with the estimation, prediction and improvement of the durability of building structures and constructions from composite;

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Deep Learning in Bioinformatics

, protein structure prediction, gene expression regulation, protein classification, biomedical image processing and diagnosis, biomolecule;

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Neural Network Learning

learning problems, and addresses the key statistical and computational questions. Research on pattern classification with binary-output networks;

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Neural Network Learning

learning problems, and addresses the key statistical and computational questions. Research on pattern classification with binary-output networks;

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Model-Based Clustering and Classification for Data Science

and classification in terms of statistical models, thus yielding principled estimation, testing and prediction methods, and sound answers to;

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Remote Sensing Image Classification in R

This book offers an introduction to remotely sensed image processing and classification in R using machine learning algorithms. It also;

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Data Mining and Big Data

submissions. They are organized in topical sections named: data analysis; prediction; clustering; classification; mining pattern; mining tasks.;

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Family Problems and Family Violence

upcoming International Classification of Diseases (ICD-11). It provides a set of practical tools for defining, screening, and assessing family;

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Linearity, Symmetry, and Prediction in the Hydrogen Atom

symmetry and linear model of quantum mechanics Method has wide applications in crystallography, atomic structure, classification of manifolds;

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Prediction of Concrete Durability

Poor durability of concrete is a continuing concern to owners of structures and their professional advisors. Advances in methods;

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Prediction of Concrete Durability

Poor durability of concrete is a continuing concern to owners of structures and their professional advisors. Advances in methods;

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Ensemble Classification Methods with Applications in R

An essential guide to two burgeoning topics in machine learning - classification trees and ensemble learning Ensemble Classification;

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