Symposium on Machine Learning Algorithms and Applications (MLAA'15)

Important Dates

Full Paper Due: October 18, 2015 09:29:00 IST
Notification of Acceptance: November 02, 2015
Final Version Due: November 20, 2015
Conference Registration Due: November 18, 2015

Symposium on Machine Learning Algorithms and Applications aims at bringing together researchers focusing on developing intelligent machine learning algorithms to automate the solutions for existing problems in real world scenario. The symposium serves as a platform for showcasing various novel applications and techniques in machine learning realm.

Authors should submit their papers online using EDAS. Unregistered authors should first create an account on EDAS to log on. Further guidelines for submission are posted at the Submisison page.

Topics of interest include but are not limited to

Machine Learning Algorithms

  • Analogical Learning Methods
  • Bayesian Models and Methods
  • Biologically Inspired Machine Learning
  • Case-Based Reasoning and Associative Memory
  • Classification and Clustering
  • Cognitive Modeling
  • Computational Learning Theory
  • Conceptional Learning and Clustering
  • Connectionist Networks
  • Cooperative Machine Learning
  • Deep Learning
  • Distributed Machine Learning
  • Embedded Machine Learning
  • Ensemble Methods
  • Explanation-Based Learning
  • Feature Learning
  • Formal Modeling for Machine Learning Techniques
  • Grammatical Inference
  • Graphical Models
  • Hybrid Learning Algorithms
  • Indefinite Proximity Learning
  • Inductive Learning
  • Kernel machines
  • Knowledge Representation and Reasoning
  • Learning Decision and Regression Trees
  • Learning through Fuzzy Logic
  • Multi-Agent Learning
  • Multi-Strategy Learning
  • Neural Network Learning
  • Online and Incremental Learning
  • Organisational Learning and Evolutional Learning
  • Reinforcement Learning
  • Rough Sets Theory and Machine Learning
  • Scalability of Learning Algorithms
  • Secure Machine Learning Algorithms
  • Societal Impacts of Machine Learning
  • Statistical and Evolutionary Learning
  • Support Vector Machines
  • Theories and Models for Plausible Reasoning
  • Time Series and Sequential Pattern Mining
  • Vector Quantization and Self-Organizing Maps

Machine Learning Applications

  • Approximation and Identification
  • Bioinformatics and Systems Biology
  • Brain-Computer Interfaces
  • Cognitive Radio Networks
  • Communication Networks and Distributed Systems
  • Content-Based Retrieval of Image and Video
  • Data Analysis and Intelligent Optimization
  • Data Mining and Visualization
  • Document and Handwriting Analysis
  • Economics, Business and Forecasting Applications
  • Education Informatics
  • Energy Applications
  • Environmental Applications
  • Face and Gesture Recognition
  • Feature Extraction and Dimension Reduction
  • Game Playing and Problem Solving
  • Health Informatics
  • Human Computer Interaction
  • Industrial and Engineering Applications
  • Information Fusion
  • Information Security
  • Intelligent Virtual Environments
  • Knowledge Extraction
  • Natural Language Processing
  • Network Analysis and Intrusion Detection
  • Signal Processing and Modeling
  • Social Networks
  • Vision and Sensory Systems


All accepted and presented papers will be published in the conference proceedings and submitted to IEEE Xplore as well as other Abstracting and Indexing (A&I) databases. At least one full paying author of each accepted paper must register for the Conference before the indicated deadline. All accepted papers MUST be presented at the conference by one of the authors, or, if none of the authors are able to attend, by a qualified surrogate.

Technical Program Committee