Recruitment Learning

Multi-Objective Machine Learning

Reinforcement Learning State-of-the-Art

Recent Advances in Learning Automata

Learning Systems: From Theory to Practice

Visual Knowledge Discovery and Machine Learning

Smart Education and e-Learning 2017

Machine Learning for Computer Vision

Emerging Paradigms in Machine Learning

Technology for Education and Learning

Ensemble Machine Learning Methods and Applications

Fusion Methods for Unsupervised Learning Ensembles

Meta-Learning in Computational Intelligence

Ensembles in Machine Learning Applications

Learning Structure and Schemas from Documents

Exploitation of Linkage Learning in Evolutionary Algorithms

Adaptive Representations for Reinforcement Learning

Computational Intelligence for Technology Enhanced Learning

Machine Learning and Systems Engineering

Tuning Metaheuristics A Machine Learning Perspective

Transfer in Reinforcement Learning Domains

Recent Advances in Learning and Control

Learning Classifier Systems in Data Mining

Foundations of Learning Classifier Systems

Machine Learning and Robot Perception

Automatic Tuning of Compilers Using Machine Learning

Shape Understanding System – Knowledge Implementation and Learning

Privacy-Preserving Machine Learning for Speech Processing

Supervised Learning with Complex-valued Neural Networks

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

Self-Learning Optimal Control of Nonlinear Systems Adaptive Dynamic Programming Approach

Advances in Neural Computation, Machine Learning, and Cognitive Research Selected Papers from the XIX International Conference on Neuroinformatics, October 2-6, 2017, Moscow, Russia

Advances in Soft Computing and Machine Learning in Image Processing

Interactive Mobile Communication Technologies and Learning Proceedings of the 11th IMCL Conference

Multisensor Fusion and Integration in the Wake of Big Data, Deep Learning and Cyber Physical System An Edition of the Selected Papers from the 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2017)

Teaching and Learning in a Digital World Proceedings of the 20th International Conference on Interactive Collaborative Learning – Volume 2

Enhanced Machine Learning and Data Mining Methods for Analysing Large Hybrid Electric Vehicle Fleets based on Load Spectrum Data

E-Learning Practice in Higher Education: A Mixed-Method Comparative Analysis

Evolution of Artificial Neural Development In search of learning genes

AI Injected e-Learning The Future of Online Education

Advances in Machine Learning and Data Science Recent Achievements and Research Directives

The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018)

Citizen, Territory and Technologies: Smart Learning Contexts and Practices Proceedings of the 2nd International Conference on Smart Learning Ecosystems and Regional Development - University of Aveiro, Portugal, 22-23, June 2017

Machine Learning Methods for Behaviour Analysis and Anomaly Detection in Video

Software Data Engineering for Network eLearning Environments Analytics and Awareness Learning Services

Image Quality Assessment of Computer-generated Images Based on Machine Learning and Soft Computing

Evolutionary Approach to Machine Learning and Deep Neural Networks Neuro-Evolution and Gene Regulatory Networks

Machine Learning for the Quantified Self On the Art of Learning from Sensory Data

Advances in Human Factors in Training, Education, and Learning Sciences Proceedings of the AHFE 2017 International Conference on Human Factors in Training, Education, and Learning Sciences, July 17-21, 2017, The Westin Bonaventure Hotel, Los Angeles, California, USA

Teaching and Learning in a Digital World Proceedings of the 20th International Conference on Interactive Collaborative Learning – Volume 1

Granular Computing Based Machine Learning A Big Data Processing Approach

2nd International Workshop on Evidence-based Technology Enhanced Learning

Intelligent and Adaptive Educational-Learning Systems Achievements and Trends

Intrinsically Motivated Learning in Natural and Artificial Systems

Approaches to Probabilistic Model Learning for Mobile Manipulation Robots

TEXPLORE: Temporal Difference Reinforcement Learning for Robots and Time-Constrained Domains

Intelligent Adaptation and Personalization Techniques in Computer-Supported Collaborative Learning

International Workshop on Evidence-Based Technology Enhanced Learning

Self-Evolvable Systems Machine Learning in Social Media

Learning in Non-Stationary Environments Methods and Applications

SystemVerilog for Verification A Guide to Learning the Testbench Language Features

Workshop on Learning Technology for Education in Cloud (LTEC'12)

Modeling, Learning, and Processing of Text Technological Data Structures

Hybrid Random Fields A Scalable Approach to Structure and Parameter Learning in Probabilistic Graphical Models

From Curve Fitting to Machine Learning An Illustrative Guide to Scientific Data Analysis and Computational Intelligence

Kernel-based Data Fusion for Machine Learning Methods and Applications in Bioinformatics and Text Mining

Self-Learning Speaker Identification A System for Enhanced Speech Recognition

Intelligent Open Learning Systems Concepts, Models and Algorithms

Technology-Enhanced Systems and Tools for Collaborative Learning Scaffolding

Advances in Machine Learning I Dedicated to the Memory of Professor Ryszard S.Michalski

Advances in Machine Learning II Dedicated to the Memory of Professor Ryszard S.Michalski

From Motor Learning to Interaction Learning in Robots

Information Theoretic Learning Renyi's Entropy and Kernel Perspectives

Knowledge-Free and Learning-Based Methods in Intelligent Game Playing

Incremental Learning for Motion Prediction of Pedestrians and Vehicles

Real-time Iterative Learning Control Design and Applications

Foundations of Computational, Intelligence Volume 1 Learning and Approximation

Design and Analysis of Learning Classifier Systems A Probabilistic Approach

System Verilog for Verification A Guide to Learning the Testbench Language Features

Innovations in E-learning, Instruction Technology, Assessment, and Engineering Education

Iterative Learning Control Robustness and Monotonic Convergence for Interval Systems

Evolution of Teaching and Learning Paradigms in Intelligent Environment

Make and Test Projects in Engineering Design Creativity, Engagement and Learning

Extending the Scalability of Linkage Learning Genetic Algorithms Theory & Practice

Rule-Based Evolutionary Online Learning Systems A Principled Approach to LCS Analysis and Design

Kernel Based Algorithms for Mining Huge Data Sets Supervised, Semi-supervised, and Unsupervised Learning

Environment Learning for Indoor Mobile Robots A Stochastic State Estimation Approach to Simultaneous Localization and Map Building

Systemverilog for Verification A Guide to Learning the Testbench Language Features

Learning from Nature How to Design New Implantable Biomaterialsis: From Biomineralization Fundamentals to Biomimetic Materials and Processing Routes Proceedings of the NATO Advanced Study Institute, held in Alvor, Algarve, Portugal, 13–24 October 2003

Principles of Adaptive Filters and Self-learning Systems

Design of Intelligent Multi-Agent Systems Human-Centredness, Architectures, Learning and Adaptation

New Product Development An Empirical Study of the Effects of Innovation Strategy, Organization Learning, and Market Conditions

Data Fusion in Information Retrieval

Markov Networks in Evolutionary Computation

Embedded Automation in Human-Agent Environment

Practical Applications of Evolutionary Computation to Financial Engineering Robust Techniques for Forecasting, Trading and Hedging

Group Search Optimization for Applications in Structural Design