Special Session on Machine Learning for Predictive Models in Engineering Applications - IEEE ICMLA 2016
When : 2016-12-18
Where : California
Submission Deadline : 2016-08-06
Categories : Multimedia, Computer Graphics & Animation , Computer Science & Information Technology
MLPM 2016 : Special Session on Machine Learning for Predictive Models in Engineering Applications - IEEE ICMLA 2016
Dec 18, 2016 - Dec 20, 2016
California
Call For Papers
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. Some topics relevant to this session include, but are not limited to:
Topics of Interest
- Biomedical image analysis/processing
- Clustering
- Decision Support
- Support Vectorn MachineTime Series
- Decision Trees
- Fuzzy Logic & Systems
- Probabilistic Reasoning
- Lazy Learning
- Classification
- Recommender Systems
- Expert Systems
- Artificial Neural Networks
- Evolutionary Algorithms
- Ranking Algorithms
- Cognitive Processes
- Evolutionary Computing
- Swarm Intelligence
- Artificial Immune Systems
- Markov Model
- Chaos Theory
- Multi-Valued Logic
- Ensemble Techniques
- Hybrid Intelligent Models
- Reasoning Models
IMPORTANT DATES
User Name : sidra
Posted 26-07-2016 on 15:50:03 AEDT
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