Machine learning in bioinformatics

Optimal learning

Knowledge discovery with support vector machines

Recurrent neural networks for prediction learning algorithms, architectures, and stability

Self-adaptive systems for machine intelligence

Data mining and machine learning in building energy analysis

Machine learning in Python : essential techniques for predictive analysis

Unsupervised learning : a dynamic approach

Multi-agent machine learning : a reinforcement approach

Autonomous learning systems : from data streams to knowledge in real-time

Modern machine learning techniques and their applications in cartoon animation research

Reinforcement and systemic machine learning for decision making

Machine learning in image steganalysis

Nonnegative matrix and tensor factorizations applications to exploratory multi-way data analysis and blind source separation

Kernel methods for remote sensing data analysis

Advanced mapping of environmental data geostatistics, machine learning and Bayesian maximum entropy

Learning from data concepts, theory, and methods

Learning from data : concepts, theory, and methods

Concept data analysis theory and applications

Handbook of learning and approximate dynamic programming

Adaptive blind signal and image processing learning algorithms and applications

Adaptive blind signal and image processing : learning algorithms and applications

Learning from data : Concepts, theory, and methods