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27 Jan 2023: Now form a new model for the data bymultiplying these two models and renormalizing:. ... yt, st, and zt—representing the conditional independence relationships in this new model, P3.

27 Jan 2023: What is the new learnedparameter vector for this data set? Explain why this might be better or worse thanthe ML estimate.

19 Nov 2023: generalize from observations in the training set to new test cases(interpolation and extrapolation). •

19 Nov 2023: We have introduced a new set of hidden variables zd. • How do we fit those variables?

27 Jan 2023: p p k n p dα β θ θ α β θ = k nWe've made available a corpus of news documents on the course web site and in the ... This is a collection of data from the Topic Detectionand Tracking (TDT) project, containing news stories from a variety of media.

27 Jan 2023: We have chosen a coordinate transformation system---the visuomotor map which transforms visual coordinates into motor coordinates---to study the generalization effects of learning new input--output pairs.

19 Nov 2023: categories. We have introduced a new set of hidden variables zd.• How do we fit those variables?

27 Jan 2023: The gradient Differentiationof this line, the derivative, is not constant, but a new function:.

19 Nov 2023: Note, that the average is done in the log space. A perplexity of g corresponds to the uncertainty associated with a die with gsides, which generates each new word.

19 Nov 2023: Note, that the average is done in the log space.A perplexity of g corresponds to the uncertainty associated with a die with gsides, which generates each new word.