Dragos Margineantu - Research
Interests
Artificial intelligence (click here
for a description of my current research):
· Machine learning:
inductive learning, graphical models, ensembles, kernel methods, reinforcement
learning, computational learning theory.
· Validation, testing, and
evaluation of decision systems and learning systems.
· Learning and reasoning
with probabilistic and causal models.
· Knowledge discovery and
intelligent data analysis.
· Integrating domain
knowledge into learned models and learning algorithms.
· Diagnosis systems.
Game theory and its integration into
intelligent systems.
Geometry.
Learning
and artificial intelligence methods for functional genomics, proteomics,
vision, and security.