Skip to search formSkip to main contentSkip to account menu

Cross entropy

Known as: Cross-entropy, Log loss, Minxent 
In information theory, the cross entropy between two probability distributions and over the same underlying set of events measures the average number… 
Wikipedia (opens in a new tab)

Related topics

Related topics

15 relations
Conditional entropyConvolutional neural networkCross-entropy methodDeep learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Vehicle Re-Identifiation and Multi-Camera Tracking in Challenging City-Scale Environment
In our submission to the NVIDIA AI City Challenge, we address vehicle re-identification and vehicle multi-camera tracking. Our… 
2013
2013
Learning Semantic Representations for the Phrase Translation Model
This paper presents a novel semantic-based phrase translation model. A pair of source and target phrases are projected into… 
2009
2009
New global optimization algorithms for model-based clustering
2007
2007
Estimation of fuzzy error matrix accuracy measures under stratified random sampling
A fuzzy error matrix can be used to summarize accuracy assessment information when both the map and reference data are labeled… 
Review
2006
Review
2006
The EM Algorithm , Its Stochastic Implementation and Global Optimization : Some Challenges and Opportunities for OR
The EM algorithm is a very powerful optimization method and has reached popularity in many fields. Unfortunately, EM is only a… 
2000
2000
The Explicit Density Functional and Its Connection with Entropy Maximization
The intrinsic Helmholtz free energy, commonly used as a basis for density functional theories, is here given explicitly as a… 
1998
1998
Unified decision combination framework
1994
1994
Distributed and local neural classifiers for phoneme recognition
1994
1994
Generating New Beliefs from Old
Highly Cited
1993
Highly Cited
1993
Decoding via cross-entropy minimization
  • M. Moher
  • Proceedings of GLOBECOM '93. IEEE Global…
  • 1993
  • Corpus ID: 122648042
An intuitive algorithm by Lodge et al. [1992] for iterative decoding of block codes is shown to follow from entropy optimization… 
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)