[PDF][PDF] Ultrahigh dimensional feature selection: beyond the linear model

J Fan, R Samworth, Y Wu - The Journal of Machine Learning Research, 2009 - jmlr.org
Variable selection in high-dimensional space characterizes many contemporary problems in
scientific discovery and decision making. Many frequently-used techniques are based on …

[PDF][PDF] Ultrahigh Dimensional Feature Selection: Beyond The Linear Model

J Fan, R Samworth, Y Wu - Journal of Machine Learning …, 2009 - jmlr.csail.mit.edu
Variable selection in high-dimensional space characterizes many contemporary problems in
scientific discovery and decision making. Many frequently-used techniques are based on …

[PDF][PDF] Ultrahigh Dimensional Feature Selection: Beyond The Linear Model

J Fan, R Samworth, Y Wu - Journal of Machine Learning Research, 2009 - academia.edu
Variable selection in high-dimensional space characterizes many contemporary problems in
scientific discovery and decision making. Many frequently-used techniques are based on …

Ultrahigh Dimensional Feature Selection: Beyond The Linear Model

J Fan, R Samworth, Y Wu - The Journal of Machine Learning Research, 2009 - dl.acm.org
Variable selection in high-dimensional space characterizes many contemporary problems in
scientific discovery and decision making. Many frequently-used techniques are based on …

[PDF][PDF] Ultrahigh Dimensional Feature Selection: Beyond The Linear Model

J Fan, R Samworth, Y Wu - Journal of Machine …, 2009 - archive.ymsc.tsinghua.edu.cn
Variable selection in high-dimensional space characterizes many contemporary problems in
scientific discovery and decision making. Many frequently-used techniques are based on …

[PDF][PDF] Ultrahigh dimensional variable selection: Beyond the linear model

J Fan - 2009 - stat.yale.edu
Ultrahigh dimensional variable selection: Beyond the linear model Page 1 Ultrahigh
dimensional variable selection: Beyond the linear model Jianqing Fan Princeton University With …

[PDF][PDF] Ultrahigh dimensional variable selection: Beyond the linear model

J Fan - 2009 - euler.stat.yale.edu
Ultrahigh dimensional variable selection: Beyond the linear model Page 1 Ultrahigh
dimensional variable selection: Beyond the linear model Jianqing Fan Princeton University With …

[PDF][PDF] Ultrahigh Dimensional Feature Selection: Beyond The Linear Model

J Fan, R Samworth, Y Wu - Journal of Machine Learning Research, 2009 - Citeseer
Variable selection in high-dimensional space characterizes many contemporary problems in
scientific discovery and decision making. Many frequently-used techniques are based on …

[PDF][PDF] Ultrahigh Dimensional Feature Selection: Beyond The Linear Model

J Fan, R Samworth, Y Wu - Journal of Machine Learning …, 2009 - pages.stat.wisc.edu
Variable selection in high-dimensional space characterizes many contemporary problems in
scientific discovery and decision making. Many frequently-used techniques are based on …

Ultrahigh Dimensional Feature Selection: Beyond The Linear Model.

J Fan, R Samworth, Y Wu - Journal of Machine Learning …, 2009 - search.ebscohost.com
Variable selection in high-dimensional space characterizes many contemporary problems in
scientific discovery and decision making. Many frequently-used techniques are based on …