StackOverflow Questions for Tag: information-theory

Eciel

Reputation: 43

MINE gives different estimation of Mutual Information

information-theorymutual-information

Score: 0

Answers: 0

ZX L

Reputation: 1

ReedSolo error correction codec with bitstream as input

pythonbinaryinformation-theoryreed-solomonbitstream

Score: 0

Answers: 0

Nathan BeDell

Reputation: 2293

Is there an algorithm for "perfect" compression?

compressionentropyinformation-theory

Score: 10

Answers: 2

HugoRune

Reputation: 13789

Calculate threshold, so that 99% of random string have higher entropy

algorithmlanguage-agnosticvarianceentropyinformation-theory

Score: 3

Answers: 2

dreeves

Reputation: 26932

How do I compute the approximate entropy of a bit string?

encryptionentropyinformation-theorycompression

Score: 60

Answers: 8

claws

Reputation: 54100

Practical way of explaining "Information Theory"

encryptionimage-processingcompressioncryptographyinformation-theory

Score: 10

Answers: 8

mikejwilliamson

Reputation: 491

Dredge MuMIn: when using a dredge on a GLMM, does the null model include random effects?

rdata-modelinginformation-theorymumin

Score: 3

Answers: 1

Wiliam

Reputation: 1088

Calculating PMI for bigram and discrepancy

pythonnltkinformation-theory

Score: 2

Answers: 1

user13355463

Reputation:

Artificial Intelligence & Von Neumann Model

artificial-intelligencecomputationinformation-theoryvon-neumann

Score: -1

Answers: 1

CJR

Reputation: 3985

Python Contingency Table

pythonnumpyinformation-theory

Score: 5

Answers: 2

fluffels

Reputation: 4111

What is the computer science definition of entropy?

computer-scienceinformation-theoryentropycompression

Score: 72

Answers: 15

R. C.

Reputation: 671

Information content of a (1D) curve (i.e. spectroscopy)

pythoncurveentropyinformation-theory

Score: 1

Answers: 0

nahsivar

Reputation: 1099

Optimal way to compute pairwise mutual information using numpy

pythonperformancenumpyscipyinformation-theory

Score: 78

Answers: 3

Marco Plebani

Reputation: 486

R packages lme4 and glmmTMB produce different AIC for the same model and data

rlme4mixed-modelsinformation-theoryglmmtmb

Score: 2

Answers: 1

David

Reputation: 5016

Any theoretical limit to compression?

information-theorycompression

Score: 26

Answers: 4

Resu

Reputation: 207

Issue in python computing entropy

pythonnumpymathinformation-theory

Score: 0

Answers: 1

slaw

Reputation: 6869

Computing (Minimum) Description Length - MDL

pythonnumpyinformation-theory

Score: 1

Answers: 1

notastringtheorist

Reputation: 55

Calculating the Fisher metric in PyTorch

pythonpython-3.xmachine-learningpytorchinformation-theory

Score: 0

Answers: 1

develarist

Reputation: 1365

3 functions for computing relative entropy in scipy. What's the difference?

pythonentropyinformation-theoryscipy.stats

Score: 3

Answers: 2

user10626935

Reputation:

Finding conditional mutual information from 3 discrete variable

python-3.xnumpyinformation-theory

Score: 1

Answers: 3

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StackOverflow Questions for Tag: information-theory

MINE gives different estimation of Mutual Information

ReedSolo error correction codec with bitstream as input

Is there an algorithm for &quot;perfect&quot; compression?

Calculate threshold, so that 99% of random string have higher entropy

How do I compute the approximate entropy of a bit string?

Practical way of explaining &quot;Information Theory&quot;

Dredge MuMIn: when using a dredge on a GLMM, does the null model include random effects?

Calculating PMI for bigram and discrepancy

Artificial Intelligence &amp; Von Neumann Model

Python Contingency Table

What is the computer science definition of entropy?

Information content of a (1D) curve (i.e. spectroscopy)

Optimal way to compute pairwise mutual information using numpy

R packages lme4 and glmmTMB produce different AIC for the same model and data

Any theoretical limit to compression?

Issue in python computing entropy

Computing (Minimum) Description Length - MDL

Calculating the Fisher metric in PyTorch

3 functions for computing relative entropy in scipy. What&#39;s the difference?

Finding conditional mutual information from 3 discrete variable

Is there an algorithm for "perfect" compression?

Practical way of explaining "Information Theory"

Artificial Intelligence & Von Neumann Model

3 functions for computing relative entropy in scipy. What's the difference?