Algorithms & Theory | Artificial Intelligence | Data Mining & Analysis | Information Extraction & Visualization | Machine Learning | Natural Language Processing
Randy is interested in the logic of machine learning. He employs non-deductive reasoning techniques, which use specific examples to discover general principles, to build theoretical models that accurately describe and predict the world. For Randy, understanding and explaining a computational process is as important as the process itself.
Randy's research can be applied for performance improvement, data visualization and information extraction.