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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

This book describes the use of machine learning techniques to build predictive models of uncertainty with application to hydrological;

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

This book describes the use of machine learning techniques to build predictive models of uncertainty with application to hydrological;

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Integrated Uncertainty in Knowledge Modelling and Decision Making

submissions. The papers deal with all aspects of uncertainty modelling and management and are organized in topical sections on uncertainty management;

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Integrated Uncertainty in Knowledge Modelling and Decision Making

from 55 submissions. The papers deal with all aspects of uncertainty modelling and management and are organized in topical sections on;

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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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Progress in Intelligent Decision Science

concepts and aspects of decision making with uncertainty. Besides, other chapters are involved with the concept of data mining and decision making;

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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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Symbolic and Quantitative Approaches to Reasoning with Uncertainty

This book constitutes the refereed proceedings of the 13th European Conference on Symbolic and Quantitative Approaches to Reasoning with;

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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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Algorithms for Decision Making

in stochastic environments where the outcomes of our actions are uncertain. It goes on to address model uncertainty, when we do not start with a known;

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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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The Essentials of Machine Learning in Finance and Accounting

assets and markets and correlates them with enterprises' profitability * Introduces advanced and novel machine learning techniques in finance;

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The Essentials of Machine Learning in Finance and Accounting

assets and markets and correlates them with enterprises' profitability * Introduces advanced and novel machine learning techniques in finance;

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The Geometry of Uncertainty

, is the core of this book, as it introduces the author's own geometric approach to uncertainty theory, starting with the geometry of belief;

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The Geometry of Uncertainty

, is the core of this book, as it introduces the author's own geometric approach to uncertainty theory, starting with the geometry of belief;

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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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Information Processing and Management of Uncertainty in Knowledge-Based Systems

, preferences and votes; optimization and uncertainty; games; real world applications; knowledge processing and creation; machine learning I; machine;

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Information Processing and Management of Uncertainty in Knowledge-Based Systems

, preferences and votes; optimization and uncertainty; games; real world applications; knowledge processing and creation; machine learning I; machine;

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Information Processing and Management of Uncertainty in Knowledge-Based Systems

, preferences and votes; optimization and uncertainty; games; real world applications; knowledge processing and creation; machine learning I; machine;

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

to probability. Connecting the science of heuristics with machine learning, the book shows how to create formal models using classification;

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