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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… 
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Papers overview

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2019
2019
The key to generalization is controlling the complexity of the network. However, there is no obvious control of complexity – such… 
2019
2019
We target at a challenging problem of training Deep Neural Networks (DNNs) on abnormal training data, where a considerable… 
2017
2017
Replacing hand-engineered pipelines with end-to-end deep learning systems has enabled strong results in applications like speech… 
2014
2014
We address a challenging problem frequently faced by MT service providers: creating a domainspecific system based on a purely… 
2013
2013
This paper presents a novel semantic-based phrase translation model. A pair of source and target phrases are projected into… 
2011
2011
This study presents a quantitative policy impact analysis of alternative policy and macroeconomic assumptions in the agricultural… 
2009
2009
The input-output (IO) analysis explores changes in final demand through the regional economy using multipliers. However, it isn’t… 
2007
2007
  • G. Kern-Isberner
  • 2007
  • Corpus ID: 11233262
This paper makes a foundational contribution to the discussions on the very nature of belief change operations. Belief revision… 
2005
2005
This paper presents the use of generative probabilistic models for multimedia retrieval. Gaussian mixture models are estimated to…