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    MLSC 2022 - 3rd International Conference on Machine Learning and Soft Computing (MLSC 2022)

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    Category Analogical learning methods; Automated knowledge acquisition; Case based methods

    Deadline: October 09, 2021 | Date: January 22, 2022-January 23, 2022

    Venue/Country: Zurich, Switzerland, Switzerland

    Updated: 2021-09-28 13:57:12 (GMT+9)

    Call For Papers - CFP

    3rd International Conference on Machine Learning and Soft Computing (MLSC 2022)

    January 22 ~ 23, 2022, Zurich, Switzerland

    Scope & Topics

    3rd International Conference on Machine Learning and Soft Computing (MLSC 2022) 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


    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

    Paper Submission

    Authors are invited to submit papers through the conference Submission System by October 09, 2021. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).

    Selected papers from MLSC 2022, after further revisions, will be published in the special issues of the following journals

    Machine Learning and Applications: An International Journal (MLAIJ)

    International Journal on Soft Computing (IJSC)

    Information Technology in Industry (ITII)New – ESCI Indexed

    Important Dates

    Second Batch : (Submissions after September 25, 2021)

    Submission Deadline : October 09, 2021

    Authors Notification : November 30, 2021

    Registration & Camera-Ready Paper Due : December 08, 2021

    Contact Us

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    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
    Disclaimer: ourGlocal is an open academical resource system, which anyone can edit or update. Usually, journal information updated by us, journal managers or others. So the information is old or wrong now. Specially, impact factor is changing every year. Even it was correct when updated, it may have been changed now. So please go to Thomson Reuters to confirm latest value about Journal impact factor.