Module:Machine Learning: Difference between revisions
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Organized by [http://www.cs.dartmouth.edu/~rockmore Dan Rockmore] | Organized by [http://www.cs.dartmouth.edu/~rockmore Dan Rockmore] | ||
==Readings== | ==Readings== | ||
===Dan Rockmore=== | |||
===Cosma Shalizi=== | ===Cosma Shalizi=== | ||
| Line 24: | Line 25: | ||
-------- | -------- | ||
CSSS lecture slides: | CSSS lecture slides: | ||
===Greg Leibon== | ===Greg Leibon=== | ||
Matlab Files | |||
* [[Media:ProbablityChain.mat | Probability Chains]] | |||
* [[Media:Toy.mat | Toy markov chain during Lecture 1]] | |||
Notes | |||
* [[Media:CSSS10Pickle.pdf | Lecture 1 notes]] | * [[Media:CSSS10Pickle.pdf | Lecture 1 notes]] | ||
* [[Media:CSSS10Boundary.pdf | Lecture 2 | * [[Media:CSSS10Boundary.pdf | Lecture 2 notes]] | ||
* [[Media:CSSS01Quantum.pdf | Lecture 3 | * [[Media:CSSS01Quantum.pdf | Lecture 3 notes]] | ||
* [[Media:shoe.pdf | Markov Chains In A Shoebox]] | * [[Media:shoe.pdf | Markov Chains In A Shoebox]] | ||
* [[Media:pickle.pdf | Conformal Geometry of Markov Chains]] | * [[Media:pickle.pdf | Conformal Geometry of Markov Chains]] | ||
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Latest revision as of 18:03, 30 June 2011
| Complex Systems Summer School 2011 Modules |
Organized by Dan Rockmore
Readings
Dan Rockmore
Cosma Shalizi
(Content from 2010 Wiki)
- Quantifying Self-Organization with Optimal Predictors
- Methods and Techniques of Complex Systems Science: An Overview
- Blind Construction of Optimal Nonlinear Recursive Predictors for Discrete Sequences
- Automatic Filters for the Detection of Coherent Structure in Spatiotemporal Systems
- Computational Mechanics: Pattern and Prediction, Structure and Simplicity
- The Computational Structure of Spike Trains
- Discovering Functional Communities in Dynamical Networks
- Measuring Shared Information and Coordinated Activity in Neuronal Networks
- Optimal Nonlinear Prediction of Random Fields on Networks
Data mining and statistical learning lecture notes
Chaos, complexity and inference lecture notes
CSSS lecture slides:
Greg Leibon
Matlab Files
Notes
- Lecture 1 notes
- Lecture 2 notes
- Lecture 3 notes
- Markov Chains In A Shoebox
- Conformal Geometry of Markov Chains