Back to Results
First PageMeta Content
Markov models / Information / Rate–distortion theory / Markov chain / Causality / Entropy / Mutual information / Markov process / Hidden Markov model / Information theory / Statistics / Mathematical analysis


Circumventing the Curse of Dimensionality in Prediction: Causal Rate-Distortion for Infinite-Order Markov Processes Sarah Marzen
Add to Reading List

Document Date: 2014-12-19 12:52:53


Open Document

File Size: 1,13 MB

Share Result on Facebook

City

Davis / /

Company

AMP / Markov / /

/

Facility

Theoretical Neuroscience University of California at Berkeley / Santa Fe Institute / Physics University of California at Davis / /

IndustryTerm

information processing post / predictive rate-distortion algorithms / biological information processing / downstream perceptual processing / adaptive systems / linear dynamical systems / information function algorithms / dot product / prediction algorithms / computing / particular prediction algorithm / finance / natural systems / /

NaturalFeature

Shannon / /

Organization

Redwood Center / University of California / Department of Physics University of California / Department of Physics / U.S. Securities and Exchange Commission / Complexity Sciences Center / /

Person

Rmax / James P. Crutchfield / Irenio Funes / /

Position

tween forward / author / forward / /

ProgrammingLanguage

D / C / /

ProvinceOrState

California / /

Technology

Neuroscience / PRD algorithm / PRD algorithms / information function algorithms / particular prediction algorithm / prediction algorithms / predictive rate-distortion algorithms / /

URL

www.santafe.edu / /

SocialTag