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Title: Evolvable Machines: Theory & Practice / Edition 1, Author: Nadia Nedjah
Title: Explanation-Based Neural Network Learning: A Lifelong Learning Approach / Edition 1, Author: Sebastian Thrun
Title: Fairness and Machine Learning: Limitations and Opportunities, Author: Solon Barocas
Title: Foundations of Computer Vision, Author: Antonio Torralba
Title: Foundations of Learning Classifier Systems / Edition 1, Author: Larry Bull
Title: From Synapses to Rules: Discovering Symbolic Rules from Neural Processed Data, Author: Bruno Apolloni
Title: Fundamentals of Machine Learning for Predictive Data Analytics, second edition: Algorithms, Worked Examples, and Case Studies, Author: John D. Kelleher
Title: Fundamentals of Probability and Statistics for Machine Learning, Author: Ethem Alpaydin Pre-Order Now
Title: Generating Abstraction Hierarchies: An Automated Approach to Reducing Search in Planning / Edition 1, Author: Craig A. Knoblock
Title: Genetic Algorithms for Machine Learning / Edition 1, Author: John J. Grefenstette
Title: Genetic Algorithms for Pattern Recognition, Author: Sankar K. Pal
Title: Genetic Learning for Adaptive Image Segmentation / Edition 1, Author: Bir Bhanu
Title: Geometric Computing for Perception Action Systems: Concepts, Algorithms, and Scientific Applications / Edition 1, Author: Eduardo Bayro Corrochano
Title: Handbook of Learning and Approximate Dynamic Programming / Edition 1, Author: Jennie Si
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Title: Handbook of Research on Machine Learning: Foundations and Applications, Author: Monika Mangla
Title: Image to Interpretation: An Intelligent System to Aid Historians in Reading the Vindolanda Texts, Author: Melissa Terras
Title: Incremental Version-Space Merging: A General Framework for Concept Learning / Edition 1, Author: Haym Hirsh
Title: Information Theoretic Learning: Renyi's Entropy and Kernel Perspectives / Edition 1, Author: Jose C. Principe

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