sona's elastic-net [6 articles] Export

Recent papers added to sona's library classified by the tag elastic-net. You can also see everyone's elastic-net.

	Prediction and Interpretation of Distributed Neural Activity with Sparse Models [My Copy] NeuroImage, Vol. 44 (2009), pp. 112-122. by Melissa K. Carroll, Guillermo A. Cecchi, Irina Rish, Rahul Garg, A. Ravishankar Rao posted to feature_selection elastic-net lasso sparse-learning by sona on 2009-01-28 15:52:10 as along with 2 people librain eugeneduff
	Feature selection for high-dimensional data [My Copy] Computational Management Science, Vol. 6 (2009), pp. 25-40. by Augusto Destrero, Sofia Mosci, Christine De Mol, Alessandro Verri, Francesca Odone posted to gradient_descent feature_selection elastic-net feature-subsampling lasso ridge-regression subsampling by sona on 2009-01-28 14:49:26 as along with 1 person mdharsee
	Sparse principal component analysis [My Copy] Journal of Computational and Graphical Statistics, Vol. 15, No. 2. (2006), pp. 262-286. by H. Zou, T. Hastie, R. Tibshirani posted to elastic-net lasso pca sparse-learning spca by sona on 2009-01-28 11:40:08 as along with 1 person brianmc
	Penalized feature selection and classification in bioinformatics [My Copy] Brief Bioinform, Vol. 9, No. 5. (1 September 2008), pp. 392-403. by Shuangge Ma, Jian Huang posted to feature_selection elastic-net regularization survey by sona on 2009-01-27 17:32:34 as along with 7 people kshameer svozil bertelsen VGreiff jfr guhjy neils
	Computational Methods of Feature Selection [My Copy] (29 October 2007) edited by Huan Liu, Hiroshi Motoda posted to feature_selection elastic-net embedded-feature-selection feature-ranking feature-rating filter-feature-selection forward-selection random-subspace-method survey weighting-feature-selection wrapper-feature-selection by sona on 2008-11-14 12:01:42 as along with 5 people robert85 jdu gabriprat sdvillal stefanmeissner
	Regularization and variable selection via the Elastic Net [My Copy] Journal of the Royal Statistical Society B, Vol. 67 (2005), pp. 301-320. by Hui Zou, Trevor Hastie posted to feature_selection elastic-net lars lasso by sona on 2008-11-13 17:27:47 as along with 1 person ajbattle

Note: You may cite this page as: http://www.citeulike.org/user/sona/tag/elastic-net

sona's tags

All tags in sona's library

Filter:

Privacy Statement | Terms & Conditions

bibtex-import	24
feature_selection	21
semi-supervised	14
survey	13
unsupervised	13
relational-learning	12
neural-networks	12
supervised	10
shrinkage	8
hierarchical-classifier	7
probabilistic	7
svm	7
lasso	7
sparse-learning	6
elastic-net	6
regularization	6
bagging	5
linked-input	5
structured-input	5
structured-output	5
k-means	5
kernel-methods	5
subsampling	4
text-classification	4
contextual-processing	4
cascade-correlation	4
recurrent-neural-networks	4
bootstrapping	4
embedded-feature-selection	4
filter-feature-selection	4
clustering	4
feature-ranking	4
taxonomy	3
random-subspace-method	3
relational-neural-networks	3
weighting-feature-selection	3
time_series	3
top-down	3
wrapper-feature-selection	3
active-learning	3
ensemble-methods	3
sensitivity-analysis	3
high_dimensional_data	3
cross-validation	3
boosting	3
composite-kernel	2
dimensionality_reduction	2
relief	2
lars	2
feature-rating	2
fmri	2
chemistry	2
random-forest	2
error-estimation	2
learning-algorithms	2
gradient_descent	2
bayesian-networks	2
redundant_features	2
bpts	2
random_subspace_method	2
leave-one-out	2
naive-bayes	2
self-organizing-map	2
ridge-regression	2
forward-selection	2
multi-label	2
real-dataset	2
mixture-of-experts	2
real-data	1
statistical-relational-learning	1
pca	1
tangent-distance	1
topic-pagerank	1
face_areas	1
adaptive-learning	1
test-significance	1
centroid-based	1
adaboost	1
hierarchical-measures	1
missing-feature	1
neural_network	1
structured-prediction	1
t-statistic	1
data_streams	1
monte-carlo	1
randomized-algorithm	1
small-sample-size-problem	1
random-field	1
recursive-neural-networks	1
bottom-up	1
covariate-shift	1
fast-learning	1
cognitive-states	1
editorial	1
data-shift	1
metrics	1
mixture_model	1
regression	1
hidden-markov-random-fields	1
mvpa	1
stability	1
artificial-data	1
sensor-networks	1
discriminative_learning	1
graphical-models	1
co-clustering	1
james-stein	1
subspace_method	1
wordnet	1
document-mining	1
confidence-intervals	1
feature-bagging	1
digits-recognition	1
reducibile_subspace	1
semantic-similarity	1
knn	1
localization	1
incremental-learning	1
similarity	1
online-clustering	1
measures	1
random-projection	1
open-problems	1
domain-adaptation	1
sequences	1
smoothing	1
probabilistic-logical	1
complete-link-clustering	1
decision_trees	1
srl	1
decision_forests	1
stein-paradox	1
ilp	1
evolutionary-learning	1
spca	1
statistical_significance	1
algorithm	1
document-classification	1
data-fusion	1
feature-subsampling	1
prejudice	1