Conference Information
ICMLA 2020: International Conference on Machine Learning and Applications
Submission Date:
2020-07-17 Extended
Notification Date:
Conference Date:
Miami, Florida, USA
CORE: c   QUALIS: b2   Viewed: 15820   Tracked: 28   Attend: 10

Conference Location
Call For Papers
Scope of the Conference

ICMLA 2020 aims to bring together researchers and practitioners to present their latest achievements and innovations in the area of machine learning (ML). The conference provides a leading international forum for the dissemination of original research in ML, with emphasis on applications as well as novel algorithms and systems. Following the success of previous ICMLA conferences, the conference aims to attract researchers and application developers from a wide range of ML related areas, and the recent emergence of Big Data processing brings an urgent need for machine learning to address these new challenges.

Topics of interest

    Statistical Learning
    Deep Learning
    Learning Through Fuzzy Logic
    Learning Through Evolution
    Reinforcement Learning
    Multi-strategy Learning
    Cooperative Learning
    Planning and Learning
    Multi-agent Learning
    Online and Incremental Learning
    Scalability of Learning Algorithms
    Inductive Learning
    Inductive Logic Programming
    Bayesian Networks
    Support Vector Machines
    Case-based Reasoning
    Grammatical Inference
    Knowledge Acquisition and Learning
    Knowledge Discovery in Databases
    Knowledge Intensive Learning
    Knowledge Representation and Reasoning
    Machine Learning for Information Retrieval
    Learning Through Mobile Data Mining
    Machine Learning for Web Navigation and Mining
    Text and Multimedia Mining
    Feature Extraction and Classification
    Distributed and Parallel Learning Algorithms and Applications
    Computational Learning Theory
    Theories and Models for Plausible Reasoning
    Computational Learning Theory
    Cognitive Modeling
    Hybrid Learning Algorithms
    Multi-lingual knowledge acquisition and representation
    Applications of Machine learning in:
        Medicine and health informatics
        Bioinformatics and systems biology
        Industrial and engineering applications
        Smart cities
        Game playing and problem solving
        Intelligent virtual environments
        Economics, business and forecasting

Applications of Machine Learning

The conference will cover both machine learning theoretical research and its applications. Contributions describing machine learning techniques applied to real-world problems and interdisciplinary research involving machine learning, in fields like medicine, biology, industry, manufacturing, security, education, virtual environments, games, are especially encouraged.
Last updated by Dou Sun in 2020-07-04
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