- Cognitive Algorithms and techniques
- Autonomic, Adaptive, Dependable Computing
- Scientific Computing
- Large Data Set Computations
- Analysis and Complexity
- Analogical Learning Methods
- Biologically-Inspired Machine Learning
- Classification and Clustering
- Computational Learning Theory
- Hybrid Learning Algorithms
- Distributed Machine Learning
- Embedded Machine Learning
- Bayesian Models and Methods
- Feature Learning
- Learning Decision and Regression Trees
- Multi-Agent/ Strategy Learning
- Support Vector Machines
- Time Series and Sequential Pattern Mining
- Approximate and Stochastic Computing