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Advanced Topics in Intelligent Information Processing Seminar

Explore Bayesian networks, deep learning, LDA, and more. Learn about tools, applications, and evaluation methods. Engage in term projects and presentations.

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Advanced Topics in Intelligent Information Processing Seminar

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Presentation Transcript

  1. Seminar on Intelligent Information Fall 2014

  2. Topic to be covered • Bayesian Networks • Graphical Modelsand Inference Method • Sampling for inference • Expectation Maximization • Topic Modelling using Nonpaprametric Bayesian Models • LDA ….. • Deep Learning • Kernel Based Methods • Semi-supervised Learning • Manifold Learning • Advanced Topics of Clustering

  3. How to proceed the class • Lecture by lecturer or video • Basic Conceptsof Text Levels • Tools for Applications • Seminar • Group of Special Interests • Bayesian Networks • Application of Markov Random Field • LDA for document topic modelling • Topic modelling applications … • HMM and its application

  4. How to proceed the class • Seminar • Group of Special Interests • Kernel Method/Manifold Learning/Semi-supervised learning • Kernel SVM • Spectral Clustering … • Deep Learning • Models and Types of Deep Learning • Tools for learning • How to use the tools with specific applications

  5. How to proceed the class • Evaluation • Seminar 40 % • Term Projects 40 % • Present 20 %

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