Reinforcement and systemic machine learning for decision making

Machine learning forensics for law enforcement, security, and intelligence

Mining software specifications : methodologies and applications

Bayesian artificial intelligence

Self-adaptive systems for machine intelligence

Mining software specifications : methodologies and applications

Data mining and machine learning in cybersecurity

Evaluating Learning Algorithms A Classification Perspective

Utility-based learning from data

Knowledge discovery from data streams

Applied genetic programming and machine learning

Machine learning for audio, image and video analysis : theory and applications

Algorithms for reinforcement learning

Support vector machines for pattern classification

Introduction to machine learning

Machine learning for spatial environmental data : theory, applications and software

Machine learning : an algorithmic perspective

Knowledge discovery with support vector machines

The elements of statistical learning : data mining, inference, and prediction

Kernel methods for remote sensing data analysis

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

Machine learning in bioinformatics

Dataset shift in machine learning

Computational methods of feature selection

Machine learning techniques for multimedia : case studies on organization and retrieval

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

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

Learning from data : concepts, theory, and methods

Large-scale kernel machines

Learning from data concepts, theory, and methods

Machine learning and data mining : introduction to principles and algorithms

Predicting structured data

Enhancing computer security with smart technology

Pattern recognition and machine learning

Prediction, Learning, and Games

Intelligent Control Systems using Computational Intelligence Techniques

Nearest-neighbor methods in learning and vision theory and practice

Bayesian artificial intelligence

Control Theory

Kernel methods for pattern analysis

Concept data analysis theory and applications

Handbook of learning and approximate dynamic programming

Introduction to machine learning

Learning and generalisation : with applications to neural networks

Blondie24 playing at the edge of AI

Adaptive blind signal and image processing learning algorithms and applications

Learning kernel classifiers theory and algorithms

Learning with kernels support vector machines, regularization, optimization, and beyond

Adaptive blind signal and image processing : learning algorithms and applications

Learning kernel classifiers : theory and algorithms

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

Bioinformatics the machine learning approach

Bayesian networks and decision graphs

Advances in large margin classifiers

Graphical models for machine learning and digital communication

Learning from data : Concepts, theory, and methods

Machine learning

An introduction to computational learning theory

Pattern recognition and machine learning

How to build a person a prolegomenon

Genetic algorithms in search, optimization, and machine learning

Induction : processes of inference, learning, and discovery

Machine learning : an artificial intelligence approach

Sequential methods in pattern recognition and machine learning