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      Cover image for Machine learning in non-stationary environments introduction to covariate shift adaptation
      1. 
      Machine learning in non-stationary environments introduction to covariate shift adaptation
      by 
      Sugiyama, Masashi, 1974-
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      Excerpt: 
      Machine learning in non-stationary environments introduction to covariate shift adaptation /
      Cover image for Reverse Hypothesis Machine Learning A Practitioner's Perspective
      2. 
      Reverse Hypothesis Machine Learning A Practitioner's Perspective
      by 
      Kulkarni, Parag. author.
      http://dx.doi.org/10.1007/978-3-319-55312-2
      Format: 
      Excerpt: 
      Reverse Hypothesis Machine Learning A Practitioner's Perspective / Kulkarni, Parag. author.
      Cover image for Machine Learning for Cyber Physical Systems Selected papers from the International Conference ML4CPS 2016
      3. 
      Machine Learning for Cyber Physical Systems Selected papers from the International Conference ML4CPS 2016
      by 
      Beyerer, Jürgen. editor.
      http://dx.doi.org/10.1007/978-3-662-53806-7
      Format: 
      Excerpt: 
      Machine Learning for Cyber Physical Systems Selected papers from the International Conference ML4
      Cover image for Machine Learning Paradigms Artificial Immune Systems and their Applications in Software Personalization
      4. 
      Machine Learning Paradigms Artificial Immune Systems and their Applications in Software Personalization
      by 
      Sotiropoulos, Dionisios N. author.
      http://dx.doi.org/10.1007/978-3-319-47194-5
      Format: 
      Excerpt: 
      Machine Learning Paradigms Artificial Immune Systems and their Applications in Software
      Cover image for State-Space Approaches for Modelling and Control in Financial Engineering Systems theory and machine learning methods
      5. 
      State-Space Approaches for Modelling and Control in Financial Engineering Systems theory and machine learning methods
      by 
      Rigatos, Gerasimos G. author.
      http://dx.doi.org/10.1007/978-3-319-52866-3
      Format: 
      Excerpt: 
      machine learning methods / Rigatos, Gerasimos G. author.
      Cover image for Next-generation sequencing and sequence data analysis
      6. 
      Next-generation sequencing and sequence data analysis
      by 
      Chiu, Kuo Ping, author.
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      Format: 
      Excerpt: 
      Machine learning.
      Cover image for Process, data and classifier models for accessible supervised classification problem solving
      7. 
      Cover image for Genetic Algorithm Essentials
      8. 
      Genetic Algorithm Essentials
      by 
      Kramer, Oliver. author.
      http://dx.doi.org/10.1007/978-3-319-52156-5
      Format: 
      Excerpt: 
      -- Multimodality -- Constraints -- Multiple Objectives -- Part III: Advanced Concepts -- Theory -- Machine Learning
      Cover image for Data Privacy: Foundations, New Developments and the Big Data Challenge
      9. 
      Data Privacy: Foundations, New Developments and the Big Data Challenge
      by 
      Torra, Vicenç. author.
      http://dx.doi.org/10.1007/978-3-319-57358-8
      Format: 
      Excerpt: 
      Introduction -- Machine and Statistical Learning -- On the Classification of Protection Procedures
      Cover image for Twin Support Vector Machines Models, Extensions and Applications
      10. 
      Twin Support Vector Machines Models, Extensions and Applications
      by 
      Jayadeva. author.
      http://dx.doi.org/10.1007/978-3-319-46186-1
      Format: 
      Excerpt: 
      , it also discusses the important and challenging applications of this new machine learning methodology
      Cover image for Advances in Computational Intelligence Systems Contributions Presented at the 16th UK Workshop on Computational Intelligence, September 7–9, 2016, Lancaster, UK
      11. 
      Advances in Computational Intelligence Systems Contributions Presented at the 16th UK Workshop on Computational Intelligence, September 7–9, 2016, Lancaster, UK
      by 
      Angelov, Plamen. editor.
      http://dx.doi.org/10.1007/978-3-319-46562-3
      Format: 
      Excerpt: 
      , evolutionary computation, evolving systems and machine learning. The individual chapters are based on peer
      Cover image for Advances in Systems Science Proceedings of the International Conference on Systems Science 2016 (ICSS 2016)
      12. 
      Advances in Systems Science Proceedings of the International Conference on Systems Science 2016 (ICSS 2016)
      by 
      Świątek, Jerzy. editor.
      http://dx.doi.org/10.1007/978-3-319-48944-5
      Format: 
      Excerpt: 
      theory, control theory, machine learning, artificial intelligence, signal processing, communication and
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