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Dropout (neural networks)

Known as: Dropout, Dropout training 
Dropout is a regularization technique for reducing overfitting in neural networks by preventing complex co-adaptations on training data. It is a very… 
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Papers overview

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Review
2013
Review
2013
We present deep WFC3 grism observations of the candidate z ∼ 12 galaxy UDFj-39546284 in the Hubble Space Telescope (HST) Ultra… 
Highly Cited
2010
Highly Cited
2010
Integrating a large number of on-chip voltage regulators holds the promise of solving many power delivery challenges through… 
Review
2009
Review
2009
On behalf of our outstanding team of associate editors, I am honored and privileged to report to you the current state of… 
Highly Cited
2008
Highly Cited
2008
A new method is proposed to improve the state feedback controller design for networked control systems (NCSs) taking both network… 
Highly Cited
2004
Highly Cited
2004
The problem of stabilization of networked control systems (NCSs) with data packet dropout is studied. Sufficient conditions are… 
Review
2004
Review
2004
The insertion of the communication network in the feedback control loop makes the analysis and design of a networked control… 
Highly Cited
2003
Highly Cited
2003
Cluster cooling flow models that include both active galactic nuclei (AGN) heating and thermal conduction can reduce the overall… 
Highly Cited
1992
Highly Cited
1992
This paper assesses the effects of human capital and social capital on the probability ofa person dropping out of high school… 
Highly Cited
1980
Highly Cited
1980
Joseph A. Muia James Madison University Among the many problems that educators face today, the most serious and widespread is…