16th IEEE International Conference On Machine Learning and Applications
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When : 2017-12-18
Where : CANCUN,MEXICO
Submission Deadline : 2017-07-06
Categories : Machine Learning , Computational Science
16th IEEE International Conference On Machine Learning and Applications(ICMLA 2017)
December 18-21, 2017
CANCUN, MEXICO
Scope
The aim of the conference is to bring researchers working in the areas of machine learning and applications together. The conference will cover both theoretical and experimental research results. Submission of machine learning papers describing machine learning applications in fields like medicine, biology, industry, manufacturing, security, education, virtual environments, game playing and problem solving is strongly encouraged.
Topics
- Bayesian Networks
- Big data
- Case-based Reasoning
- Cognitive Modeling
- Computational Learning Theory
- Cooperative Learning
- Deep Learning
- Distributed and Parallel Learning Algorithms and Applications
- Economics, Business and Forecasting Applications
- Evolutionary Computation
- Feature Extraction and Classification
- Game playing and problem solving
- Grammatical Inference
- Homeland Security Applications
- Hybrid Learning Algorithms
- Inductive Learning
- Inductive Logic Programming
- Industrial and Engineering Applications
- Intelligent Virtual Environments
- Knowledge Discovery in Databases
- Knowledge Intensive Learning
- Learning Through Evolution (evolutionary algorithms)
- Learning Through Fuzzy Logic
- Learning Through Mobile Data Mining
- Machine Learning and Information Retrieval
- Machine Learning and Natural Language Processing
- Machine Learning for Bioinformatics and Computational Biology
- Machine Learning for Web Navigation and Mining
- Machine learning in:
- Medicine, Bioinformatics and Systems Biology
- Multi-agent Learning
- Multi-Lingual Knowledge Acquisition and Representation
- Multistrategy Learning
- Neural Network Learning
- Online and Incremental Learning
- Planning and Learning
- Reinforcement Learning
- Scalability of Learning Algorithms
- Support Vector Machines
- Text and Multimedia Mining Through Machine Learning
- Theories and Models for Plausible Reasoning
Important Dates:
- Paper Submission: July 06, 2017
- Author Notification: September 09, 2017
- Final Version Due : October 01, 2017
User Name : Claude
Posted 15-02-2017 on 14:47:53 AEDT