Introduction
The MLPMEA 2016 special session provides an excellent international forum for sharing knowledge and results in theory, methodology and applications of Machine Learning for developing predictive models for different engineering applications. Machine Learning models are efficient for handing complex prediction models due to their outstanding performance in handling large scale datasets with uniform characteristics and noisy data. Examples of MLPMEA 2016 topics of interest include building predictive models using Machine Learning to solve specific engineering problems such as regression and classification problems. The aim of this work is to obtain a good perspective into the current state of practice of Machine Learning to address various predictive problems.
Call for paper
Important date
Submission Topics
Some topics relevant to this session include, but are not limited to:
-
Biomedical image analysis/processing
-
Clustering
-
Decision Support
-
Support Vector Machine
-
Time Series
-
Decision Trees
-
Fuzzy Logic & Systems
-
Probabilistic Reasoning
-
Lazy Learning
-
Classification
-
Recommender Systems
-
Expert Systems
-
Artificial Neural Networks
-
Evolutionary AlgorithmsRanking Algorithms
-
Cognitive Processes
-
Evolutionary Computing
-
Swarm Intelligence
-
Artificial Immune Systems
-
Markov Model
-
Chaos Theory
-
Multi-Valued Logic
-
Ensemble Techniques
-
Hybrid Intelligent Models
-
Reasoning Models
Applied to：
-
Nuclear Engineering
-
Sustainable and Renewable Energy
-
Software Engineering
-
Biomedical Engineering
-
Mechanical Engineering
-
Civil Engineering
-
Electrical Engineering
-
Computer Engineering
-
Chemical Engineering
-
Industrial Engineering
-
Environmental Engineering
All Comments
Important Date
-
Conference Date
Dec 18
2016
toDec 20
2016
-
Aug 06 2016
Draft paper submission deadline
-
Oct 01 2016
Final Paper Deadline
-
Dec 20 2016
Registration deadline
Contact Information
- Ali Bou Nassif
- an******@sharjah.ac.ae
Submit Comment