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Imbalanced Learning

Solving imbalanced learning problems is critical in numerous data-intensive networked systems, including surveillance, security, Internet;

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Handbook of Research on Data Preprocessing, Active Learning, and Cost Perceptive Approaches for Resolving Data Imbalance

Over the last two decades, researchers are looking at imbalanced data learning as a prominent research area. Many critical real-world;

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Learning from Imbalanced Data Sets

This book provides a general and comprehensible overview of imbalanced learning. It contains a formal description of a problem, and;

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Learning from Imbalanced Data Sets

This book provides a general and comprehensible overview of imbalanced learning. It contains a formal description of a problem, and;

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An Introduction to Machine Learning

This textbook offers a comprehensive introduction to Machine Learning techniques and algorithms. This Third Edition covers newer approaches;

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Emerging Paradigms in Machine Learning

challenging problems such as learning from incomplete and imbalanced data, pattern recognition of stochastic episodic events and on-line mining of non;

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Data Mining with Decision Trees

Learning, Learning with Uncertain and Imbalanced Data, Using Decision Trees beyond Classification Tasks, Privacy Preserving Decision Tree Learning;

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Breathing as a Tool for Self-Regulation and Self-Reflection

promote mental and physical health and alleviate symptoms resulting from imbalanced breathing. The authors describe applications of psychophysical;

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Breathing as a Tool for Self-Regulation and Self-Reflection

promote mental and physical health and alleviate symptoms resulting from imbalanced breathing. The authors describe applications of psychophysical;

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Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits

Integrate scikit-learn with various tools such as NumPy, pandas, imbalanced-learn, and scikit-surprise and use it to solve real-world;

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BDSM Mastery-Relationships

: first, they usually involve a power-imbalanced structure (one person is clearly in charge and the other person is clearly following); second;

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Advances in Knowledge Discovery and Data Mining

in data mining; mining sequential data; mining imbalanced data; association; privacy and security; supervised learning; novel algorithms; mining;

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Advances in Knowledge Discovery and Data Mining

in data mining; mining sequential data; mining imbalanced data; association; privacy and security; supervised learning; novel algorithms; mining;

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Political Economy in the Evolution of China's Urban-Rural Economic Relations

Demonstrates the imbalanced integration as the main character of China's urban-rural economic relationship since reform and opening up;

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Statistical Methods for Imbalanced Data in Ecological and Biological Studies

This book presents a fresh, new approach in that it provides a comprehensive recent review of challenging problems caused by imbalanced;

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Balanced Trade

trading partners and imbalanced trade? Many argue that the response should be to do little or nothing. Balanced Trade argues that achieving the;

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Advances in Computational Intelligence

Technology; Computational Intelligence Methods for Time Series; Machine Learning Applied to Vision and Robotics; Human Activity Recognition for;

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Advances in Computational Intelligence

Technology; Computational Intelligence Methods for Time Series; Machine Learning Applied to Vision and Robotics; Human Activity Recognition for;

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The Learning Economy and the Economics of Hope

imbalanced and crisis ridden world system. A new kind of economics, policy learning and new regimes of global governance are presented as elements;

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The Learning Economy and the Economics of Hope

imbalanced and crisis ridden world system. A new kind of economics, policy learning and new regimes of global governance are presented as elements;

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Women and the Teaching Profession

can become gender imbalanced in favour of women, the impacts of this on learning processes and student education, and the implications on;

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The New ADHD Medication Rules

New ADHD Medication Rules deals with the over-medication, missed diagnoses and imbalanced medical treatments used today in the treatment;

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Multiple Instance Learning

This book provides a general overview of multiple instance learning (MIL), defining the framework and covering the central paradigms. The;

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Data Mining

handling large-sized, streaming and imbalanced data, support vector machines, and extended coverage of textual data mining. The second edition;

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Writing Queer Women of Color

as less than the white, Eurocentric norm. Drawing on semiotics, queer theory, and gender studies, this book addresses the imbalanced;

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Ensemble decision trees

, which solves two of typical data mining problems observed in financial data mining field: the problem of imbalanced data and the problem;

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