'P et xt' presentation slideshows

CS 541: Artificial Intelligence

CS 541: Artificial Intelligence. Lecture IX: Supervised Machine Learning. Slides Credit: Peter Norvig and Sebastian Thrun. Schedule. Re-cap of Lecture VIII. Temporal models use state and sensor variables replicated over time Markov assumptions and stationarity assumption, so we need

1.08k views • 94 slides

CS 541: Artificial Intelligence

CS 541: Artificial Intelligence. Lecture VIII: Temporal Probability Models. Schedule. TA: Vishakha Sharma Email Address : vsharma1@stevens.edu. Re-cap of Lecture VII. Exact inference by variable elimination: polytime on polytrees , NP-hard on general graphs

604 views • 48 slides

CS 541: Artificial Intelligence

CS 541: Artificial Intelligence. Lecture VIII: Temporal Probability Models. Re-cap of Lecture VII. Exact inference by variable elimination: polytime on polytrees , NP-hard on general graphs space = time, very sensitive to topology Approximate inference by LW, MCMC:

564 views • 48 slides

Making complex decisions

561 views • 28 slides