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Learning with Uncertainty

Learning with uncertainty covers a broad range of scenarios in machine learning, this book mainly focuses on: (1) Decision tree learning;

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Learning with Uncertainty

Learning with uncertainty covers a broad range of scenarios in machine learning, this book mainly focuses on: (1) Decision tree learning;

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Uncertainty Analysis in Rainfall-Runoff Modelling - Application of Machine Learning Techniques

demonstrates the capacity of machine learning techniques for building accurate and efficient predictive models of uncertainty.;

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Uncertainty Analysis in Rainfall-Runoff Modelling - Application of Machine Learning Techniques

demonstrates the capacity of machine learning techniques for building accurate and efficient predictive models of uncertainty.;

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Uncertainty Modeling for Data Mining

Machine learning and data mining are inseparably connected with uncertainty. The observable data for learning is usually imprecise;

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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures

This book constitutes the refereed proceedings of the First International Workshop on Uncertainty for Safe Utilization of Machine Learning;

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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis

This book constitutes the refereed proceedings of the Second International Workshop on Uncertainty for Safe Utilization of Machine Learning;

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Integrated Uncertainty in Knowledge Modelling and Decision Making

This book constitutes the refereed proceedings of the 7th International Symposium on Integrated Uncertainty in Knowledge Modelling and;

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Integrated Uncertainty in Knowledge Modelling and Decision Making

uncertainty management and decision support; machine learning; machine learning applications; econometric applications; and statistical methods;

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Algorithms for Decision Making

A broad introduction to algorithms for decision making under uncertainty, introducing the underlying mathematical problem formulations;

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Probabilistic Deep Learning

Probabilistic Deep Learning shows how probabilistic deep learning models gives readers the tools to identify and account for uncertainty;

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Refining the Committee Approach and Uncertainty Prediction in Hydrological Modelling

MLUE (Machine Learning for Uncertainty Estimation) approach is further explored and extended; in it the machine learning techniques (e.g;

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Refining the Committee Approach and Uncertainty Prediction in Hydrological Modelling

MLUE (Machine Learning for Uncertainty Estimation) approach is further explored and extended; in it the machine learning techniques (e.g;

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Symbolic and Quantitative Approaches to Reasoning with Uncertainty

Uncertainty, ECSQARU 2015, held in Compiegne, France, in July 2015. The 49 revised full papers presented were carefully reviewed and selected from 69;

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Uncertainty Reasoning for the Semantic Web III

This book contains revised and significantly extended versions of selected papers from three workshops on Uncertainty Reasoning for the;

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Machine Learning for Intelligent Decision Science

The book discusses machine learning-based decision-making models, and presents intelligent, hybrid and adaptive methods and tools for;

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Machine Learning for Intelligent Decision Science

The book discusses machine learning-based decision-making models, and presents intelligent, hybrid and adaptive methods and tools for;

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Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations

and applications; logical methods in mining knowledge from big data; metaheuristics and machine learning; optimization models for modern;

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Information Processing and Management of Uncertainty

; aggregation; formal methods for vagueness and uncertainty in a many-valued realm; graduality; preferences; uncertainty management in machine learning;

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Decision Making Under Uncertainty

captures probabilistic relationships between variables; utility theory as a framework for understanding optimal decision making under uncertainty;

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Classification in the Wild The Art and Science of Transparent Decision Making The Science and Art of Transparent Decision Making

Rules for building formal models that use fast-and-frugal heuristics, extending the psychological study of classification to the real world;

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Scalable Uncertainty Management

This book constitutes the refereed proceedings of the 9th International Conference on Scalable Uncertainty Management, SUM 2015, held;

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The Geometry of Uncertainty

in that space, for example, combined or conditioned. In the chapters in Part I, Theories of Uncertainty, the author offers an extensive;

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The Geometry of Uncertainty

in that space, for example, combined or conditioned. In the chapters in Part I, Theories of Uncertainty, the author offers an extensive;

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Controlling Uncertainty

Controlling Uncertainty: Decision Making and Learning in Complex Worlds reviews and discusses the most current research relating to the;

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Artificial Intelligence

. Uncertainty. Probabilistic Reasoning Systems. Making Simple Decisions. Making Complex Decisions. Learning from Observations. Learning with Neural;

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Artificial Intelligence

. Uncertainty. Probabilistic Reasoning Systems. Making Simple Decisions. Making Complex Decisions. Learning from Observations. Learning with Neural;

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