Bridging Human and Machine Learning: Using discrete Markov Chain Monte Carlo with People to explore human categories
Visualizing qualitative patterns in multivariate time series
Lecture 9: Markov Rewards and Dynamic Programming
Lagrange Dual Decomposition for Finite Horizon Markov Decision Processes
Dynamic Programming and Stochastic Control
Policy Search
Sensor Technologies for Interactive Environments
Beam Sampling for the Infinite Hidden Markov Model
Sensor Technologies for Interactive Environments
7.6 Organizational Design Considerations