International Conference on Computer Science, Machine Learning and Statistics ICCSMLI on May 27-28, 2026 in Tokyo, Japan
Submit Your Paper- Short Name: ICCSMLI
- Event Type: Conference
- Presentation: Physical
- Website URL: https://waset.org/computer-science-machine-learning-and-statistics-conference-in-may-2026-in-tokyo
- Program URL: https://waset.org/conferences-in-may-2026-in-tokyo/program
- Contact URL: https://waset.org
- Location: Tokyo, Japan
- Date: May 27-28, 2026
- Final Submission: April 26, 2026
- Notification: February 27, 2025
- Organization: World Academy of Science, Engineering and Technology
- Conference Tags: cyber-physical systems (cps) knowledge engineering
Computer science
Computer system
Complex systems
Design and analysis of algorithms
Logic and proof
Models of computation
Object-oriented programming
Intelligent systems
Computational learning theory
Computational complexity
Lambda calculus and types
Computer animation
Machine learning
Computational linguistics
Automata, logic and games
Concurrent algorithms and data structures
Decision tree learning
Association rule learning
Artificial neural networks
Deep Learning
Inductive logic programming
Support vector machines
Clustering
Bayesian networks
Reinforcement learning
Representation learning
Similarity and metric learning
Sparse dictionary learning
Genetic algorithms
Open-source software
Commercial software with open-source editions
Commercial software
Supervised learning
Unsupervised learning
Reinforcement learning
Pattern recognition
Data mining
Computer system
Complex systems
Design and analysis of algorithms
Logic and proof
Models of computation
Object-oriented programming
Intelligent systems
Computational learning theory
Computational complexity
Lambda calculus and types
Computer animation
Machine learning
Computational linguistics
Automata, logic and games
Concurrent algorithms and data structures
Decision tree learning
Association rule learning
Artificial neural networks
Deep Learning
Inductive logic programming
Support vector machines
Clustering
Bayesian networks
Reinforcement learning
Representation learning
Similarity and metric learning
Sparse dictionary learning
Genetic algorithms
Open-source software
Commercial software with open-source editions
Commercial software
Supervised learning
Unsupervised learning
Reinforcement learning
Pattern recognition
Data mining
Name: World Academy of Science, Engineering and Technology
Website: https://waset.org/
Address: UAE
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