|
|
|
|
Venues (Conferences, Journals, ...)
|
|
|
GrowBag graphs for keyword ? (Num. hits/coverage)
Group by:
The graphs summarize 32 occurrences of 24 keywords
|
|
|
|
|
Results
Found 39 publication records. Showing 39 according to the selection in the facets
| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 2 | Mark W. Schmidt, Glenn Fung, Rómer Rosales |
Fast Optimization Methods for L1 Regularization: A Comparative Study and Two New Approaches.  |
ECML  |
2007 |
DBLP DOI BibTeX RDF |
|
| 2 | Ryo Inokuchi, Sadaaki Miyamoto |
Sparse Possibilistic Clustering with L1 Regularization.  |
GrC  |
2007 |
DBLP DOI BibTeX RDF |
|
| 2 | Daphna Weinshall, Lior Zamir |
Image Classification from Small Sample, with Distance Learning and Feature Selection.  |
ISVC  |
2007 |
DBLP DOI BibTeX RDF |
Feature Selection, Distance Learning, L1 regularization, Small Sample |
| 1 | Hidetoshi Matsui, Sadanori Konishi |
Variable selection for functional regression models via the L1 regularization.  |
Computational Statistics & Data Analysis  |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto |
Fuzzy c-Means Clustering for Data with Clusterwise Tolerance Based on L2- and L1-Regularization.  |
JACIII  |
2011 |
DBLP BibTeX RDF |
|
| 1 | Qiang Liu, Alexander T. Ihler |
Learning Scale Free Networks by Reweighted L1 regularization.  |
Journal of Machine Learning Research - Proceedings Track  |
2011 |
DBLP BibTeX RDF |
|
| 1 | H. Brendan McMahan |
Follow-the-Regularized-Leader and Mirror Descent: Equivalence Theorems and L1 Regularization.  |
Journal of Machine Learning Research - Proceedings Track  |
2011 |
DBLP BibTeX RDF |
|
| 1 | Deepak Agarwal |
Discussion of "Learning Scale Free Networks by Reweighted L1 regularization".  |
Journal of Machine Learning Research - Proceedings Track  |
2011 |
DBLP BibTeX RDF |
|
| 1 | Rakesh Chalasani, Jose C. Principe |
Sparse analog associative memory via L1-regularization and thresholding.  |
IJCNN  |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Shayok Chakraborty, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan |
Dynamic Batch Mode Active Learning via L1 Regularization.  |
AAAI  |
2011 |
DBLP BibTeX RDF |
|
| 1 | Laurent Gosse |
Effective band-limited extrapolation relying on Slepian series and l1 regularization.  |
Computers & Mathematics with Applications  |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Hongliang Fei, Jun Huan |
Boosting with structure information in the functional space: an application to graph classification.  |
KDD  |
2010 |
DBLP DOI BibTeX RDF |
feature selection, boosting, semi-structured data, graph classification, L1 regularization |
| 1 | Jun Liu, Lei Yuan, Jieping Ye |
An efficient algorithm for a class of fused lasso problems.  |
KDD  |
2010 |
DBLP DOI BibTeX RDF |
fused lasso, restart, subgradient, l1 regularization |
| 1 | Yan Yan, Glenn Fung, Jennifer G. Dy, Rómer Rosales |
Medical coding classification by leveraging inter-code relationships.  |
KDD  |
2010 |
DBLP DOI BibTeX RDF |
large margin, medical coding, classification, multi-label classification, L1 regularization, medical data mining |
| 1 | Hua Ouyang, Alexander G. Gray |
Stochastic Mirror Descent Algorithm for L1-Regularized Risk Minimizations.  |
CIT  |
2010 |
DBLP DOI BibTeX RDF |
Machine Learning, Sparsity, L1 regularization, Empirical Risk Minimization |
| 1 | Stephan Didas, Simon Setzer, Gabriele Steidl |
Combined l2 data and gradient fitting in conjunction with l1 regularization.  |
Adv. Comput. Math.  |
2009 |
DBLP DOI BibTeX RDF |
Mathematics Subject Classifications (2000) 65K10, 65F22, 65T50, 49M29 |
| 1 | Nataliya Sokolovska, Olivier Cappé, François Yvon |
Selecting features with L1 regularization in Conditional Random Fields.  |
TAL  |
2009 |
DBLP BibTeX RDF |
|
| 1 | Yanjun Han, Jue Wang |
An l1 Regularization Framework for Optimal Rule Combination.  |
ECML/PKDD  |
2009 |
DBLP DOI BibTeX RDF |
?1 regularization, Path Following Algorithm, Rule Learning |
| 1 | Daisuke Okanohara, Jun-ichi Tsujii |
Learning Combination Features with L1 Regularization.  |
HLT-NAACL (Short Papers)  |
2009 |
DBLP BibTeX RDF |
|
| 1 | Yunpeng Cai, Yijun Sun, Jian Li, Steve Goodison |
Online Feature Selection Algorithm with Bayesian l1 Regularization.  |
PAKDD  |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Peng Yang, Qingshan Liu, Dimitris N. Metaxas |
RankBoost with l1 regularization for facial expression recognition and intensity estimation.  |
ICCV  |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Z. G. Zhang, S. C. Chan, Y. Zhou, Y. Hu |
Robust Linear Estimation using M-Estimation and Weighted L1 Regularization: Model Selection and Recursive Implementation.  |
ISCAS  |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto |
On Tolerant Fuzzy c-Means Clustering with L1-Regularization.  |
IFSA/EUSFLAT Conf.  |
2009 |
DBLP BibTeX RDF |
|
| 1 | Yukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto |
Comparison of tolerant fuzzy c-means clustering with L2- and L1-regularization.  |
GrC  |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Justin Ma, Lawrence K. Saul, Stefan Savage, Geoffrey M. Voelker |
Beyond blacklists: learning to detect malicious web sites from suspicious URLs.  |
KDD  |
2009 |
DBLP DOI BibTeX RDF |
malicious web sites, supervised learning, L1-regularization |
| 1 | Manuel Loth, Philippe Preux, Samuel Delepoulle, Christophe Renaud |
ECON: A Kernel Basis Pursuit Algorithm with Automatic Feature Parameter Tuning, and its Application to Photometric Solids Approximation.  |
ICMLA  |
2009 |
DBLP DOI BibTeX RDF |
non parametric regression, sparse regression, automatic kernel parameter tuning, application in computer graphics, regression, supervised learning, kernel method, supervised classification, l1 regularization |
| 1 | J. Zico Kolter, Andrew Y. Ng |
Regularization and feature selection in least-squares temporal difference learning.  |
ICML  |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Ariadna Quattoni, Xavier Carreras, Michael Collins, Trevor Darrell |
An efficient projection for l1,infinity regularization.  |
ICML  |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Zhengya Sun, Tao Qin, Qing Tao, Jue Wang |
Robust sparse rank learning for non-smooth ranking measures.  |
SIGIR  |
2009 |
DBLP DOI BibTeX RDF |
rsrank, truncated gradient, information retrieval, learn to rank |
| 1 | Alen Alempijevic, Sarath Kodagoda, Gamini Dissanayake |
Cross-modal localization through mutual information.  |
IROS  |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Shihao Ji, David B. Dunson, Lawrence Carin |
Multitask Compressive Sensing.  |
IEEE Transactions on Signal Processing  |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Xiao Zhang, Lin Liang, Xiaoou Tang, Heung-Yeung Shum |
L1 regularized projection pursuit for additive model learning.  |
CVPR  |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Mithun Das Gupta, Thomas S. Huang |
Bregman distance to L1 regularized logistic regression.  |
ICPR  |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Morten Mørup, Kristoffer Hougaard Madsen, Lars Kai Hansen |
Approximate L0 constrained non-negative matrix and tensor factorization.  |
ISCAS  |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Saharon Rosset, Grzegorz Swirszcz, Nathan Srebro, Ji Zhu |
l1 Regularization in Infinite Dimensional Feature Spaces.  |
COLT  |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Mark W. Schmidt, Alexandru Niculescu-Mizil, Kevin P. Murphy |
Learning Graphical Model Structure Using L1-Regularization Paths.  |
AAAI  |
2007 |
DBLP BibTeX RDF |
|
| 1 | Cédric Vonesch, Michael Unser |
Fast Wavelet-Regularized Image Deconvolution.  |
ISBI  |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Zoltán Szabó, András Lörincz |
L1 regularization is better than L2 for learning and predicting chaotic systems  |
CoRR  |
2004 |
DBLP BibTeX RDF |
|
| 1 | Stefan Riezler, Alexander Vasserman |
Incremental Feature Selection and l1 Regularization for Relaxed Maximum-Entropy Modeling.  |
EMNLP  |
2004 |
DBLP BibTeX RDF |
|
Displaying result #1 - #39 of 39 (100 per page; Change: )
|
|