Artificial Intelligence: Neural Networks: People: Page 4

Decision making under uncertainty, reinforcement learning, unsupervised learning.

Machine learning of dynamic data, graphical models and Bayesian networks, neural networks.

Learning distributed representation of concepts from relational data.

Machine learning for medical diagnosis and biological data analysis.

Reinforcement learning and conditioning, mathematical models of neural processing.

Learning and memory in the brain, hippocampus.

Unsupervised learning, probabilistic density estimation, machine vision.

Object recognition, cognitive neuroscience, interaction between vision and motor movements.

Reinforcement Learning, Adaptive Critic Designs, Control, Optimization, Graph Theory, Bioinformatics, Intrusion Detection.

Pattern recognition and statistical modelling for object recognition.

Models of human and computer vision.

Probabilistic models for complex uncertain domains.

Hybrid and Bayesian networks.

Machine learning; applications to human-computer interaction, vision,neurophysiology, biology and cognitive science.

Research on Machine Learning/Neural Networks/Clustering. Applications to DNA microarray data analysis/industrial automation/information retrieval. Teaching activities.

Bayesian inference, Markov chain Monte Carlo simulation, machine learning.