What does JT stand for?

Key Topics Covered: * Graphical models and probabilistic reasoning * Conditional independence, graphs and d-separation * Evidence, sufficiency and Monte Carlo methods * Decomposable graphs and chain graphs * Learning the conditional probability potentials * Learning the graph structure * Parameters and sensitivity * Graphical models and exponential families * Causality and intervention calculus * The junction tree and probability updating * Factor graphs and the sum product algorithm For more information visit http://www.