Conference Information
MLSC 2020: International Conference on Machine Learning and Soft Computing
https://acsty2020.org/mlsc/index.html
Submission Date:
2020-02-29 Extended
Notification Date:
2020-03-16
Conference Date:
2020-04-25
Location:
Copenhagen, Denmark
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Conference Location
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Call For Papers
International Conference on Machine Learning and Soft Computing (MLSC 2020) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications Machine learning and Soft Computing. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.

Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Machine learning, Soft Computing and applications.

Topics of interest include, but are not limited to, the following

Machine Learning

Analogical learning methods
Automated knowledge acquisition
Case based methods
Clustering
Connectionist networks
Ensemble methods
Evolution based methods
Explanation based learning
Hybrid learning algorithms
Inductive logic programming
Learning decision
Learning from instruction
Learning in integrated architectures
Machine learning and information retrieval
Machine learning and natural language processing
Machine learning Applications
Multi strategy, Multi agent learning
Probabilistic networks
Regression trees
Reinforcement learning
Statistical models
Visualization of patterns in data

Soft Computing

Data Mining & Information Retrieval
Data mining for Social Network Data
Expert Systems
Fuzzy, Stochastic and Probabilistic computing
Intelligent Software Agent Systems and Architectures
Intelligent Systems
Morphic Computing
Multi objective optimization
Neural computing
Pattern recognition
Perception Based Intelligent Decision Systems
Soft Computing and Agents
Soft Computing and Pattern Recognition
Soft Computing Applications
Soft Computing for Big Data
Soft Computing Fundamental and Optimization
Soft Computing in Bio-mimetic Pattern Recognition
Soft Computing in Computer Graphics, Animation
Soft Computing Modeling for Perception and Intelligence
Advanced Soft Computing and Multi-Objective Evolutionary Computing
Last updated by Richert Kevin in 2020-02-24
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