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Combining Pattern Classifiers : Methods and Algorithms

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Fundamentals and Methods of Machine and Deep Learning Algorithms, Tools, and Applications

Fundamentals and Methods of Machine and Deep Learning Algorithms, Tools, and Applications

An Introduction to Vectors, Vector Operators and Vector Analysis

Cambridge University Press

An Introduction to Vectors, Vector Operators and Vector Analysis

Applied Statistical Decision Theory

Applied Statistical Decision Theory

Machine Learning Algorithms and Applications

Machine Learning Algorithms and Applications

Machine Learning: Concepts Techniques and Applications (Hardcover)

Machine Learning: Concepts Techniques and Applications (Hardcover)

Chapman & Hall/CRC Machine Learning Ensemble Methods: Foundations and Algorithms (Hardcover)

Chapman & Hall/CRC Machine Learning Ensemble Methods: Foundations and Algorithms (Hardcover)

Machine Learning: For Beginners – Your Comprehensive Guide For Markov Models, Reinforced Learning, Model Evaluation, SVM, Naïves Bayes Classifier

Machine Learning: For Beginners – Your Comprehensive Guide For Markov Models, Reinforced Learning, Model Evaluation, SVM, Naïves Bayes Classifier

Introduction to Pattern Recognition

Elsevier Science

Introduction to Pattern Recognition

Machine Learning: An Algorithmic Perspective, Second Edition

Machine Learning: An Algorithmic Perspective, Second Edition

Machine Learning 1990 International Conference: Proceedings of the Seventh International Conference (1990), University of Texas, Austin, Texas, June 2

Elsevier Science

Machine Learning 1990 International Conference: Proceedings of the Seventh International Conference (1990), University of Texas, Austin, Texas, June 2

Enhancing Kernel Methods for Pattern Classification (Paperback)

Enhancing Kernel Methods for Pattern Classification (Paperback)

Machine Learning for Absolute Beginners: A Plain English Introduction

Machine Learning for Absolute Beginners: A Plain English Introduction

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