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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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Related topics
Related topics
15 relations
Conditional entropy
Convolutional neural network
Cross-entropy method
Deep learning
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
A behavior driven approach for sampling rare event situations for autonomous vehicles
Atrisha Sarkar
,
K. Czarnecki
IEEE/RJS International Conference on Intelligent…
2019
Corpus ID: 67876976
Performance evaluation of urban autonomous vehicles (AVs) requires a realistic model of the behavior of other road users in the…
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2019
2019
Gland Segmentation in Histopathological Images by Deep Neural Network
Safiyeh Rezaei
,
Ali Emami
,
N. Karimi
,
S. Samavi
International Computer Society of Iran Computer…
2019
Corpus ID: 207780128
Histology method is vital in the diagnosis and prognosis of cancers and many other diseases. For the analysis of…
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2013
2013
Learning Semantic Representations for the Phrase Translation Model
Jianfeng Gao
,
Xiaodong He
,
Wen-tau Yih
,
L. Deng
arXiv.org
2013
Corpus ID: 7428684
This paper presents a novel semantic-based phrase translation model. A pair of source and target phrases are projected into…
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2011
2011
Vehicles Detection Based on Three-frame-difference Method and Cross-entropy Threshold Method
He Jia-feng
2011
Corpus ID: 63739122
By considering the temporal correlation and spatial correlation of the moving vehicles image,the method combining three-frame…
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2007
2007
Estimation of fuzzy error matrix accuracy measures under stratified random sampling
S. Stehman
,
M. Arora
,
T. Kasetkasem
,
P. Varshney
2007
Corpus ID: 823919
A fuzzy error matrix can be used to summarize accuracy assessment information when both the map and reference data are labeled…
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Review
2006
Review
2006
The EM Algorithm , Its Stochastic Implementation and Global Optimization : Some Challenges and Opportunities for OR
Wolfgang Jank
2006
Corpus ID: 17320327
The EM algorithm is a very powerful optimization method and has reached popularity in many fields. Unfortunately, EM is only a…
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1998
1998
Unified decision combination framework
K. Al-Ghoneim
,
B. Kumar
Pattern Recognition
1998
Corpus ID: 3938745
1994
1994
Generating New Beliefs from Old
F. Bacchus
,
Adam J. Grove
,
Joseph Y. Halpern
,
D. Koller
Conference on Uncertainty in Artificial…
1994
Corpus ID: 2771607
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…
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1979
1979
Determining probability distributions by maximum entropy and minimum cross-entropy
Rodney W. Johnson
APL Conference
1979
Corpus ID: 17638390
The principle of maximum entropy and a generalization, the principle of minimum cross entropy, are prescriptions for solving…
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