SilasBarta comments on Two Challenges - Less Wrong

14 Post author: Daniel_Burfoot 14 February 2010 08:31AM

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Comment author: cousin_it 14 February 2010 12:34:27PM *  5 points [-]

On the basis of these remarks I submit the following qualified statement: while the belief network paradigm is mathematically elegant and intuitively appealing, it is NOT very useful for describing real data.

It's sometimes possible to automatically reconstruct causal models from data. For example see Cosma Shalizi's thesis and CSSR software, they completely changed my view of the subject.

Comment author: SilasBarta 15 February 2010 01:56:33AM 0 points [-]

Thanks for the thesis link. That looks to be an interesting read and should be quite informative about pattern recognition, entropy, and complexity.

Some of you may remember a previous discussion of Shalizi here in which he was criticized for his position on thermodynamics. (Scroll to the bottom.)

By the way, I thought Pearl gave algorithms for identifying causal structure in Causality or Probabilistic Reasoning. Are they not effective enough?

Comment author: PhilGoetz 04 March 2010 11:31:45PM *  1 point [-]

Probabilistic Reasoning Intelligent Systems

Chpt 8, Learning structure from data

8.2 presents algorithms for learning tree-shaped networks only.

8.3 discusses how to learn tree-shaped networks using hidden independent variables