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Elastic map

Known as: Elastic net 
Elastic maps provide a tool for nonlinear dimensionality reduction. By their construction, they are a system of elastic springs embedded in the… 
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Related topics

Related topics

12 relations
Artificial neural networkBackpropagationCluster analysisGrowing self-organizing map

Broader (1)

Data mining

Papers overview

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Highly Cited
2016
Highly Cited
2016
Hyperspectral Image Classification by Fusing Collaborative and Sparse Representations
This paper proposes to combine collaborative representation (CR) and sparse representation (SR) for hyperspectral image… 
2015
2015
An elastic net-based hybrid hypothesis method for compressed video sensing
Compressed Sensing, an emerging framework for signal processing, can be used in image and video application, especially when… 
2015
2015
Prediction of influenza outbreaks by integrating Wikipedia article access logs and Google flu trend data
Prediction of influenza outbreaks is of utmost importance for health practitioners, officers and people. After the increasing… 
2015
2015
Black-box modeling for temperature prediction in weather forecasting
Accurate weather forecasting is one of most challenging tasks that deals with a large amount of observations and features. In… 
2015
2015
New technique for feature selection: Combination between elastic net and relief
One of the most advanced forms of industrial maintenance is predictive maintenance. Indeed, the present analysis of the behavior… 
2013
2013
Prediction of the result in race walking using regularized regression models
The following paper presents the use of regularized linear models as tools to optimize training process. The models were… 
2011
2011
Powerful extensions to CRFS for grapheme to phoneme conversion
Conditional Random Fields (CRFs) have proven to perform well on natural language processing tasks like name transliteration… 
2011
2011
Convex envelopes of complexity controlling penalties: the case against premature envelopment
Convex envelopes of the cardinality and rank function, l1 and nuclear norm, have gained immense popularity due to their sparsity… 
2010
2010
Sparse regression techniques in low-dimensional survival data settings
In high-dimensional data settings, sparse model fits are desired, which can be obtained through shrinkage or boosting techniques… 
2010
2010
Exploiting Covariate Similarity in Sparse Regression via the Pairwise Elastic Net
A new approach to regression regularization called the Pairwise Elastic Net is proposed. Like the Elastic Net, it simultaneously… 
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