Oriented principal component analysis for large margin classifiers

Task decomposition and modular single-hidden-layer perceptron classifiers for multi-class learning problems

Pattern Recognition

Dynamic Clustering-Based Estimation of Missing Values in Mixed Type Data

DaWaK '09 Proceedings of the 11th International Conference on Data Warehousing and Knowledge Discovery

Generalized locality preserving Maxi-Min Margin Machine

Neural Networks

RC-DCA: a new feature selection and signal categorization technique for the dendritic cell algorithm based on rough set theory

ICARIS'12 Proceedings of the 11th international conference on Artificial Immune Systems

Categorical and dimensional affect analysis in continuous input: Current trends and future directions

Image and Vision Computing

Phased searching with NEAT in a Time-Scaled Framework: Experiments on a computer-aided detection system for lung nodules

Artificial Intelligence in Medicine