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SUMMARY:Clustering\, Laplace's Method\,  Monte Carlo Methods (I) - David M
 acKay (Cavendish Laboratory)
DTSTART:20120611T133000Z
DTEND:20120611T160000Z
UID:TALK38457@talks.cam.ac.uk
CONTACT:Emli-Mari Nel
DESCRIPTION:Lecture 10 & 11 of a lecture series on Information Theory\, Pa
 ttern Recognition and Neural Networks will be covered. Please see http://w
 ww.inference.phy.cam.ac.uk/itprnn_lectures/\n \nTopics that will be covere
 d (to be continued):\n\nClustering as an example\, Laplace’s method\,\nM
 onte Carlo Methods (I): Importance sampling\, rejection sampling\, Gibbs s
 ampling\, Metropolis method.\nSchedule: Two one hour lectures will be give
 n\, with a 15 minute break in between.\n\nThe course used to be a Part III
  Physics course. Lectures will be given on Monday afternoons – some lect
 ures might be canceled\, so please consult talks.cam before each lecture (
 at least a week’s notice will be given). All are welcome\, and encourage
 d to ask many questions.
LOCATION:Pippard Lecture Theatre\, Cavendish Laboratory
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