Recruitment Learning

Preference Learning

Multiview Machine Learning

Applied Machine Learning

Deep Learning with R

Foundations of Rule Learning

Encyclopedia of Machine Learning

Multi-Objective Machine Learning

Machine Learning for Text

Logical and Relational Learning

Reinforcement Learning State-of-the-Art

Natural Computing for Unsupervised Learning

Automated Machine Learning Methods, Systems, Challenges

Cause Effect Pairs in Machine Learning

Inside deep learning : math, algorithms, models

An Introduction to Machine Learning

Developing Enterprise Chatbots Learning Linguistic Structures

Deep Reinforcement Learning for Wireless Networks

Deep Learning: Fundamentals, Theory and Applications

Learning Systems: From Theory to Practice

Kinesthetic Perception A Machine Learning Approach

Learning from Imbalanced Data Sets

Recent Advances in Learning Automata

Deep Learning in Natural Language Processing

Smart Education and e-Learning 2017

Visual Knowledge Discovery and Machine Learning

Machine Learning in Healthcare Informatics

Extreme Learning Machines 2013: Algorithms and Applications

Soft Computing in Machine Learning

Meta-Learning in Decision Tree Induction

Autonomous Robotics and Deep Learning

Machine Learning for Computer Vision

Emerging Paradigms in Machine Learning

Encyclopedia of the Sciences of Learning

Learning to Rank for Information Retrieval

Fusion Methods for Unsupervised Learning Ensembles

Meta-Learning in Computational Intelligence

Ensembles in Machine Learning Applications

Learning Structure and Schemas from Documents

Learning Spaces Interdisciplinary Applied Mathematics

Computational Intelligence for Technology Enhanced Learning

Adaptive Representations for Reinforcement Learning

Exploitation of Linkage Learning in Evolutionary Algorithms

Qualitative Spatial Abstraction in Reinforcement Learning

Machine Learning and Systems Engineering

Transfer in Reinforcement Learning Domains

Information Theory and Statistical Learning

Tuning Metaheuristics A Machine Learning Perspective

Learning Classifier Systems in Data Mining

Machine Learning for Multimedia Content Analysis

Algorithmic Learning in a Random World

Hebbian Learning and Negative Feedback Networks

Foundations of Learning Classifier Systems

Machine Learning and Robot Perception

An introduction to computational learning theory

Artificial intelligence and learning environments

Machine learning : an artificial intelligence approach

New Perspectives on Affect and Learning Technologies

Evolutionary Learning: Advances in Theories and Algorithms

Deep Reinforcement Learning Frontiers of Artificial Intelligence

Deep Learning: Convergence to Big Data Analytics

Deep Learning for NLP and Speech Recognition

Neural Networks and Deep Learning A Textbook

Automatic Tuning of Compilers Using Machine Learning

Visual Saliency Computation A Machine Learning Perspective

Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition

International Handbook of Metacognition and Learning Technologies

Shape Understanding System – Knowledge Implementation and Learning

Combinatorial Machine Learning A Rough Set Approach

Intelligent Collaborative e-Learning Systems and Applications

Machine Learning in Document Analysis and Recognition

Innovations in Machine Learning Theory and Applications

Induction : processes of inference, learning, and discovery

Explainable and Interpretable Models in Computer Vision and Machine Learning

Correlative learning a basis for brain and adaptive systems

Artificial intelligence. Vol. 1, Expert problem solving, natural language understanding, intelligent computer coaches, representation and learning

Smart Agents for the Industry 4.0 Enabling Machine Learning in Industrial Production

Machine Learning for Networking First International Conference, MLN 2018, Paris, France, November 27–29, 2018, Revised Selected Papers

Intelligence Science and Big Data Engineering. Big Data and Machine Learning 9th International Conference, IScIDE 2019, Nanjing, China, October 17–20, 2019, Proceedings, Part II

Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention International Workshops, LABELS 2019, HAL-MICCAI 2019, and CuRIOUS 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings

Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings, Part III

Broad Learning Through Fusions An Application on Social Networks