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Circumventing the Curse of Dimensionality in Prediction: Causal
  Rate-Distortion for Infinite-Order Markov Processes

Circumventing the Curse of Dimensionality in Prediction: Causal Rate-Distortion for Infinite-Order Markov Processes

9 December 2014
Sarah E. Marzen
James P. Crutchfield
ArXivPDFHTML

Papers citing "Circumventing the Curse of Dimensionality in Prediction: Causal Rate-Distortion for Infinite-Order Markov Processes"

4 / 4 papers shown
Title
The Elusive Present: Hidden Past and Future Dependency and Why We Build
  Models
The Elusive Present: Hidden Past and Future Dependency and Why We Build Models
Pooneh M. Ara
R. James
James P. Crutchfield
18
15
0
02 Jul 2015
Predictive State Representations: A New Theory for Modeling Dynamical
  Systems
Predictive State Representations: A New Theory for Modeling Dynamical Systems
Satinder Singh
Michael R. James
Matthew R. Rudary
AI4TS
AI4CE
86
289
0
11 Jul 2012
Anatomy of a Bit: Information in a Time Series Observation
Anatomy of a Bit: Information in a Time Series Observation
R. James
C. J. Ellison
James P. Crutchfield
AI4TS
69
137
0
16 May 2011
Optimal Causal Inference: Estimating Stored Information and
  Approximating Causal Architecture
Optimal Causal Inference: Estimating Stored Information and Approximating Causal Architecture
Susanne Still
James P. Crutchfield
C. J. Ellison
CML
109
48
0
11 Aug 2007
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