Module:Machine Learning

Complex Systems Summer School 2011 Modules Home Schedule Concepts: Nonlinearity Networks Computation Robustness Evolution Complexity Emergence Machine Learning

Organized by Dan Rockmore

Readings

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

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Data mining and statistical learning lecture notes
Chaos, complexity and inference lecture notes

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CSSS lecture slides:

• Information theory
  
• Optimal prediction
  
• Quantitative complex measures

=Greg Leibon

Greg Leibon

• Lecture 1 notes
• Lecture 2 note
• Lecture 3 note
• Lecture 1 slides
• Lecture 2 slides
• Lecture 3 slides
• Markov Chains In A Shoebox
• Conformal Geometry of Markov Chains

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