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Journal ArticleDOI

Maximum-Entropy Models in Science and Engineering.

Jagat Narain Kapur
- 01 Mar 1992 - 
- Vol. 48, Iss: 1, pp 333
TLDR
Partial table of contents: Maximum--Entropy Probability Distributions: Principles, Formalism and Techniques.
Abstract
Partial table of contents: Maximum--Entropy Probability Distributions: Principles, Formalism and Techniques. Maximum--Entropy Discrete Univariate Probability Distributions. Maximum--Entropy Discrete Multivariate Probability Distributions. Maximum--Entropy Continuous Multivariate Probability Distributions. Maximum--Entropy Distributions in Statistical Mechanics. Minimum Discrepancy Measures. Concavity (Convexity) of Maximum--Entropy (Minimum Information) Functions. Equivalence of Maximum--Entropy Principle and Gauss's Principle of Density Estimation. Maximum--Entropy Principle and Contingency Tables. Maximum--Entropy Principle and Statistics. Maximum--Entropy Models in Regional and Urban Planning. Maximum--Entropy Models in Marketing and Elections. Maximum--Entropy Spectral Analysis. Maximum--Entropy Image Reconstruction. Maximum--Entropy Principle in Operations Research. References. Author Index. Subject Index.

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Citations
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Minimum cross entropy thresholding

Chun-hung Li, +1 more
- 01 Apr 1993 - 
TL;DR: This method provides an unbiased estimate of a binarized version of the image in an information theoretic sense by minimizing the cross entropy between the image and its segmented version.
Journal ArticleDOI

A Survey on Deep Learning for Named Entity Recognition

TL;DR: A comprehensive review on existing deep learning techniques for NER is provided in this paper, where the authors systematically categorize existing works based on a taxonomy along three axes: distributed representations for input, context encoder, and tag decoder.