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Utility-Based Learning from Data

Utility-Based Learning from Data provides a pedagogical, self-contained discussion of probability estimation methods via a coherent;

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Learning and Decision-Making from Rank Data

The ubiquitous challenge of learning and decision-making from rank data arises in situations where intelligent systems collect preference;

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Learning and Decision-Making from Rank Data

The ubiquitous challenge of learning and decision-making from rank data arises in situations where intelligent systems collect preference;

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Learning and Decision-Making from Rank Data

The ubiquitous challenge of learning and decision-making from rank data arises in situations where intelligent systems collect preference;

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Machine Learning

analysis of big data requires a working knowledge of machine learning, which forms predictions based on known properties learned from training data;

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Machine Learning

working knowledge of machine learning, which forms predictions based on known properties learned from training data. Machine Learning is an;

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2020 AWWA Utility Benchmarking

Aggregate benchmarking data provides one framework for an individual utility to track its goals and improvement. Use of benchmarking data;

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Recent Trends in Learning from Data: Tutorials from the Inns Big Data and Deep Learning Conference (Innsbddl2019)

This book offers a timely snapshot and extensive practical and theoretical insights into the topic of learning from data. Based on the;

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Globalization, Gating, and Risk Finance

approach based on financial models and data; it includes many case-study problems. The book departs from the traditional macroeconomic and;

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Data Privacy Games

privacy and utility in data mining. Specifically, they study users' strategies in collaborative filtering based recommendation system and;

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Data Privacy

principles of data privacy that are essential for good anonymization design based on the data format and discipline. The principles outline best;

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Recent Trends in Learning From Data

This book offers a timely snapshot and extensive practical and theoretical insights into the topic of learning from data. Based on the;

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Rule Based Systems for Big Data

The ideas introduced in this book explore the relationships among rule based systems, machine learning and big data. Rule based systems are;

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Rule Based Systems for Big Data

The ideas introduced in this book explore the relationships among rule based systems, machine learning and big data. Rule based systems are;

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Data Analytics Approaches in Educational Games and Gamification Systems

Game-based learning environments and learning analytics are attracting increasing attention from researchers and educators, since they both;

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Data Analytics Approaches in Educational Games and Gamification Systems

Game-based learning environments and learning analytics are attracting increasing attention from researchers and educators, since they both;

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Learning Ontology Relations by Combining Corpus-Based Techniques and Reasoning on Data from Semantic Web Sources

-)automatic ontology generation from input data such as domain text. This thesis proposes a novel approach for learning labels of non-taxonomic;

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Heterogeneous Data Management, Polystores, and Analytics for Healthcare

; Deep Learning based Biomedical Data Analytics; NLP based Learning from Unstructured Data; Biomedical Data Modelling and Prediction.;

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Applications of Machine Learning in Wireless Communications

Machine learning explores the study and development of algorithms that can learn from and make predictions and decisions based on data;

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Behavior Analysis with Machine Learning Using R

set of behavior analysis problems. It focuses on the practical aspects of solving such problems based on data collected from sensors or stored;

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Learning from Data for Aquatic and Geotechnical Environments

The book presents machine learning as an approach to building models that learn from data, and that can be used to complement the existing;

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Learning from Data for Aquatic and Geotechnical Environments

The book presents machine learning as an approach to building models that learn from data, and that can be used to complement the existing;

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Context-Aware Machine Learning and Mobile Data Analytics

This book offers a clear understanding of the concept of context-aware machine learning including an automated rule-based framework within;

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Artificial Intelligence for Data-Driven Medical Diagnosis

This book collects research works of data-driven medical diagnosis done via Artificial Intelligence based solutions, such as Machine;

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A Theory of Case-Based Decisions

highlight its mathematical and philosophical foundations and compare it with expected utility theory as well as with rule-based systems.;

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A Theory of Case-Based Decisions

highlight its mathematical and philosophical foundations and compare it with expected utility theory as well as with rule-based systems.;

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Motivational Dynamics in Language Learning

This landmark volume offers a collection of conceptual papers and data-based research studies that investigate the dynamics of language;

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