Springer Probabilistic Topic Models: Foundation and Application

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

Spintronics: Fundamentals and Applications

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Deep Learning Foundations

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Probability in Physics: Foundations and Applications (UNITEXT for Physics)

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Foundations of Applied Statistical Methods

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Advanced Spiking Neural P Systems: Models and Applications (Computational Intelligence Methods and Applications)

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Springer - Hidden Markov Models and Applications Book

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Springer - Text Mining in Educational Research Book

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Text Mining in Educational Research: Topic Modeling and Latent Dirichlet Allocation

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Springer - Question Answering over Text and Knowledge Base

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Mobile Crowdsourcing: From Theory to Practice (Wireless Networks)

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Springer - Federated Learning: Fundamentals and Advances Book

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Reliability Theory Based on Uncertain Lifetimes

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An Introduction to Statistical Data Science: Theory and Models

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

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Artificial Intelligence in Models, Methods and Applications

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Modularity Methodology

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Statistical Modeling and Computation (Springer Texts in Statistics)

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Speech Technology: Theory and Applications

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Springer - Non-prioritized Belief Change Book

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Springer Optimal Inspection Models with Their Applications

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Optimal Inspection Models with Their Applications (Springer Series in Reliability Engineering)

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Dictionary Learning Algorithms and Applications

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Topic Detection and Classification in Social Networks: The Twitter Case

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