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The 21st conference on Algorithmic Learning Theory 2010 is will focus on the theoretical foundations of machine learning sectors. It will bring together key researchers, scientist, academicians and leading engineers from across the world. They would get a chance to share search outcomes and discuss on the current issues, in all facets of algorithmic learning. The occasion will enable attendees to learn about key issues from the expert speakers and share their ideas and knowledge. The conference will include workshops, sessions, exhibits and demonstrations to help participants gain a better understanding of algorithmic learning theories.
The key topics of the conference would include:
- Real-world applications of algorithmic learning theory
- Markov decision processes
- Graph learning
- Latent variable estimation
- Information-based methods
- Bayesian and causal networks
- Statistical learning
- Active learning
- Inductive inference
- Grammatical inference and languages
Visitor Profile
The visitors at the 21st conference on Algorithmic Learning Theory 2010 would include:
- Researchers
- Academics
- Professionals
- Students
- Scientists
- Engineers
- General Public
Organizer
ALT
