International Conference on Multi-Strategy Learning Environment ICMSLE 2023
Machine LearningEvent Snapshot
12th - 13th January 2024
Dehradun, Uttarakhand
International Conference
Online
Graphic Era Hill University Dehradun Campus
About Event
In recent years, Artificial Intelligence (AI) systems and algorithms have become a potential tool for automating wide range of tasks in various fields such as healthcare, engineering, gaming, automobiles, education etc. However, most of the existing algorithms faces significant challenges, as they lack required knowledge to solve computational complexities and sometimes return with inaccurate and simple solutions. To address these problems, Multi-Strategy Learning (MSL) environment is preferred in recent times. MSL is focused with on the research and development of new learning techniques and systems that combine several inferential and/or representational strategies in solving the assigned learning task. The integration of different learning strategies helps to gain more knowledge from the input information available to the learner. This International Conference on Multi-Strategy Learning Environment 2024 serves as the platform for the academicians, researchers and industrialists in the field of Machine Learning, Deep learning etc. to discuss about the integration of Multi-Strategy Learning Environment to enhance the computational process. The primary objective of this conference event is to explore combinations of several different learning methods for the same goal – Enabling automation in almost all the emerging fields.
Events
Paper Presenation
PPT Topics
Track 1
Machine Learning Techniques
visualization or interpretation of representations
Unsupervised, semi-supervised, and supervised representation learning
Representation and reinforcement learning
Deep learning theories and practices
Computer vision and natural language processing
Hierarchical models and optimization methods for learning
Interpretability and explainability of AI algorithms
Track 2
Adaptive data analysis and selective inference
Robustness of learning algorithms to adversarial attacks
Learning with combinatorial and algebraic structure
Game theory and learning
Learning from complex data sources e.g., time series, networks
Probabilistic graphical models and learning
Reinforcement learning and Interactive learning, and control
Multi-Strategy Learning (MSL) in distributed and streaming environments
Who Can Attend:
CSE ECE IT EEE Instrumentation MCA TelecommunicationHow to reach Graphic Era Hill University Dehradun Campus, Dehradun
Graphic Era Hill University Bell Road, Clement Town Dehradun, Uttarakhand