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Against Prediction

favor these methods because they believe they're a more cost-effective way to fight crime. In Against Prediction, Bernard E. Harcourt;

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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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Intelligent Data Analysis for COVID 19 Pandemic

This book presents intelligent data analysis as a tool to fight against COVID-19 pandemic. The intelligent data analysis includes machine;

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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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Fundamentals of Earthquake Prediction

The new field of earthquake prediction is scientifically challenging. Many lives could be saved if reliable, practical, prediction methods;

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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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Inference and Prediction in Large Dimensions

This book offers a predominantly theoretical coverage of statistical prediction, with some potential applications discussed, when data and;

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Semantic Kriging for Spatio-temporal Prediction

This book identifies the need for modeling auxiliary knowledge of the terrain to enhance the prediction accuracy of meteorological;

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Semantic Kriging for Spatio temporal Prediction

This book identifies the need for modeling auxiliary knowledge of the terrain to enhance the prediction accuracy of meteorological;

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Conformal and Probabilistic Prediction with Applications

This book constitutes the refereed proceedings of the 5th International Symposium on Conformal and Probabilistic Prediction with;

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COVID 19 Prediction Decision Making and its Impacts

of AI and COVID-19, involving predictions,medical support decision-making, and possible impact on human life. Starting withmajor COVID-19 issues;

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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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New Approaches of Protein Function Prediction from Protein Interaction Networks

New Approaches of Protein Function Prediction from Protein Interaction Networks contains the critical aspects of PPI network based protein;

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Efficient Predictive Algorithms for Image Compression

This book discusses efficient prediction techniques for the current state-of-the-art High Efficiency Video Coding (HEVC) standard, focusing;

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SAR Prediction and SAR Management for Parallel Transmit MRI

SAR Prediction and SAR Management for Parallel Transmit MRI is een boek van Hanno Homann;

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Stationary Processes and Prediction Theory. (AM-44), Volume 44

The description for this book, Stationary Processes and Prediction Theory. (AM-44), will be forthcoming.;

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Protein Structure Prediction

This thorough new edition explores web servers and software for protein structure prediction and modeling that are freely available to the;

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How to Sparkle at Prediction Skills

How to Sparkle at Prediction Skills contains 40 photocopiable worksheets to help Key Stage 1 (KS1) children to develop word recognition and;

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Trust-based Collective View Prediction

Collective view prediction is to judge the opinions of an active web user based on unknown elements by referring to the collective mind;

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Prediction Machines

cower in fear or predict an impossibly sunny future. But in Prediction Machines, three eminent economists recast the rise of AI as a drop;

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Prediction Machines

in Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they;

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Prediction Markets

Accurate predictions are essential in many areas such as corporate decision making, weather forecasting and technology forecasting;

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The Whole Truth

Although some questions remain unanswered, a great deal has been learned on issues of critical importance such as earthquake prediction;

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Foundations of Time Series Analysis and Prediction Theory

This book provides a mathematical foundation for prediction theory and time series analysis using the idea of regression (prediction) and;

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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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Numerical Weather & Climate Prediction

This textbook provides a comprehensive yet accessible treatment of weather and climate prediction, for graduate students, researchers and;

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Adaptive Filtering Prediction and Control

This unified survey of the theory of adaptive filtering, prediction, and control focuses on linear discrete-time systems and explores the;

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