Web Science/Part2: Emerging Web Properties/Generative Models for the Web

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Generative Models for the Web

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Learning goals

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Associated units

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  1. Understand the principle methodology for building generative models
  2. Remember why people are interested in generative models
  3. Know why descriptive models are needed when evaluating a generative model
  4. Be aware of one way to create a model for text generation
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  • Understand how to sample values from an arbitrary probability distribution
  • Have seen yet another application of the cumulative distribution function
  • Understand that sampling from a distribution is just a coordinate transformation of the uniform distribution
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  • See that it makes sense to compare statistics
  • Understand that comparing statistics is not a well defined task
  • Be aware of the fact that very different models could lead to the same statistics
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  • See that one can always increase the model parameters
  • Know that increasing model parameters often yields a more accurate model
  • Be aware of the bigram and mixed models as examples for our generative processes
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