Springer Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines: Theory, Algorithms and Applications (Industrial and Applied Mathematics)

Springer - Fractional Differential and Integral Operators Book

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Derivative-Free Optimization: Theoretical Foundations, Algorithms, and Applications (Machine Learning: Foundations, Methodologies, and Applications)

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Springer - Applications of Machine Learning Book

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Advances in Functional Analysis and Fixed-Point Theory: An Interdisciplinary Approach (Industrial and Applied Mathematics)

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The Bessel Wavelet Transform (Industrial and Applied Mathematics)

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Springer Wavelets: Theory and Applications for Manufacturing

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Topic Modeling: Advanced Techniques and Applications (Machine Learning: Foundations, Methodologies, and Applications)

Operators, Inequalities and Approximation: Theory and Applications (Industrial and Applied Mathematics)

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Operators, Inequalities and Approximation: Theory and Applications (Industrial and Applied Mathematics)

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Springer - Recent Developments in Fixed-Point Theory Book

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Machine Learning for Advanced Functional Materials

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Machine Learning for Computer Scientists and Data Analysts: From an Applied Perspective

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Partitional Clustering via Nonsmooth Optimization: Clustering via Optimization (Unsupervised and Semi-Supervised Learning)

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q-Rung Orthopair Fuzzy Sets: Theory and Applications

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q-Rung Orthopair Fuzzy Sets: Theory and Applications

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Springer - Banach Contraction Principle: A Centurial Journey

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Linear and Nonlinear Non-Fredholm Operators: Theory and Applications

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Feature and Dimensionality Reduction for Clustering with Deep Learning (Unsupervised and Semi-Supervised Learning)

Machine Learning for Critical Internet of Medical Things: Applications and Use Cases

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Springer - Machine Learning and Metaheuristics Book

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Generalized Matrix Inversion: A Machine Learning Approach

Uncertainty, Optimization and Machine Learning with Applications (Mathematics for Sustainable Developments)

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Unsupervised Domain Adaptation: Recent Advances and Future Perspectives (Machine Learning: Foundations, Methodologies, and Applications)

Machine Learning and Data Mining for Emerging Trend in Cyber Dynamics: Theories and Applications

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