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Graphical Models for the Internet-NIPS2011

Graphical

Models

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NIPS2011的tutorial：Graphics Models for the Internet by Alexander Smola 很好的Graphical models的介绍以及在Internet上面的应用

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Graphical Models for the Internet

Alexander Smola

Yahoo! Research, Santa Clara, CA

Australian National University

alex@smola.org blog.smola.org

credits to Amr Ahmed, Yahoo Research, CA

Outline

1. Systems

• Hardware (computer archictecture / networks / data centers)

• Storage and processing (ﬁle systems, MapReduce, Dryad, S4)

• Communication and synchronization (star, ring, hashtable, distributed star, tree)

2. Applications on the internet

• User modeling (clustering, abuse, proﬁling)

• Content analysis (webpages, links, news)

• Search / sponsored search

3. Probabilistic modeling

• Basic probability theory

• Naive Bayes

• Density estimation (exponential families)

4. Directed graphical models

• Directed graph semantics (independence, factorization)

• Clustering and Markov models (basic model, EM, sampling)

• Dirichlet distribution

Outline

5. Scalable topic modeling

• Latent Dirichlet Allocation

• Sampling and parallel communication

• Applications to user proﬁling

6. Applications of latent variable models

• Time dependent / context dependent models

• News articles / ideology estimation

• Recommendation systems

7. Undirected graphical models

• Conditional independence and graphs (vertices, chains, trellis)

• Message passing (junction trees, variable elimination)

• Variational methods, sampling, particle ﬁltering, message passing

8. Applications of undirected graphical models (time permitting)

• Conditional random ﬁelds

• Information extraction

• Unlabeled data

Part 1 - Systems

Hardware

剩余519页未读，继续阅读

changjianglong

2014-08-07

很经典的一个讲义，内容很丰富，从图的基础算法到网络应用都描述很细

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