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Kullback–Leibler divergence

Known as: Kl-divergence, KL-distance, Kullback divergence 
In probability theory and information theory, the Kullback–Leibler divergence, also called discrimination information (the name preferred by Kullback… 
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Related topics

Related topics

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AutoencoderBayesian information criterionBiclusteringBoltzmann machine

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Investigation of lattice-free maximum mutual information-based acoustic models with sequence-level Kullback-Leibler divergence
Lattice-free maximum mutual information (LFMMI) was recently proposed as a mixture of the ideas of hidden-Markov-model-based… 
2013
2013
Computing the Kullback-Leibler Divergence between two Weibull Distributions
We derive a closed form solution for the Kullback-Leibler divergence between two Weibull distributions. These notes are meant as… 
2011
2011
Fast and flexible Kullback-Leibler divergence based acoustic modeling for non-native speech recognition
One of the main challenge in non-native speech recognition is how to handle acoustic variability present in multi-accented non… 
2010
2010
Optimism in Reinforcement Learning Based on Kullback-Leibler Divergence
We consider model-based reinforcement learning in finite Markov Decision Processes (MDPs), focussing on so-called optimistic… 
2009
2009
A new wavelet thresholding method for speech enhancement based on symmetric Kullback-Leibler divergence
Performance of wavelet thresholding methods for speech enhancement is dependent on estimating an exact threshold value in the… 
2008
2008
Accelerated Monte Carlo for Kullback-Leibler divergence between Gaussian mixture models
Kullback Leibler (KL) divergence is widely used as a measure of dissimilarity between two probability distributions; however, the… 
2007
2007
Bounds on the kullback-leibler divergence rate between hidden markov models
The Kullback-Leibler (K-L) divergence rate is a natural extension of the familiar K-L divergence between probability vectors, to… 
2006
2006
New EM derived from Kullback-Leibler divergence
We introduce a new EM framework in which it is possible not only to optimize the model parameters but also the number of model… 
Highly Cited
1998
Highly Cited
1998
Localization of a wheeled mobile robot by sensor data fusion based on a fuzzy logic adapted Kalman filter
Highly Cited
1995
Highly Cited
1995
Saliency Maps and Attention Selection in Scale and Spatial Coordinates: An Information Theoretic Approach
Information measures with respect to spatial locations and scales of objects in an image are important to image processing and… 
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