Welcome to MLA 2017!
The International Symposium on Machine Learning and Applications (MLA 2017) is pleased to invite you to respond to our Call for Submissions for SmartTechCon2017, to be held from 17 - 19 August 2017 at the REVA University, Bangalore, India.
One day symposium includes talks on how machine learning techniques can be applied to scientific discovery and health maintenance. Among the featured speakers are Prof Ashwinkumar and Dr S S Manvi, professor at REVA University The Science of Intelligence is a new emerging field dedicated to developing a computation-based understanding of intelligence both natural and artificial- and to establishing an engineering practice based on that understanding. This symposium is designed to bring together experts in artificial intelligence to share and discuss the advances and the challenges in the scientific study of natural and artificial intelligence.
Prof. Ashwinkumar U M, REVA University, Bangalore, India (Chair(s))
Dr Mallikarjuna Shastry, REVA University, Bangalore, India(Chair(s))
Dr. Aravind H, SJSS ATE, Bengaluru, India
Prof. (Dr.) Chandrashekar S N, SJCIT, VTU Bengaluru, India
Prof. (Dr.) Indramma, BMSCE, VTU Bengaluru, India
Prof. Anandashankar, REVA University, Bangalore, India
Prof. (Dr.) Champa H N, UVEC, Bangalore University, Bengaluru
Prof. (Dr.) Yogish H K, SJBIT, Bangalore, India
The symposium will include paper presentations, talks, and discussions on a variety of topics related to Machine learning and Applications.
- Artificial Intelligence
- Computational Intelligence
- Artificial Neural Networks
- Deep Learning Techniques
- Text Mining
- Web Mining
- Support Vector machines
- Decision Trees
- Machine Learning Techniques
- Biomedical sciences
- Mobile imaging
- Geosciences & remote sensing
- Astronomy & space exploration
- Document image processing and analysis
- Image/Information retrieval systems
- Other applications
Submit your paper in IEEE format. Submitted work should be original and application oriented. Acceptance will be based on reviewer's comments that will address the strong and weak aspects with suggestions to improve the work.