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Ultra High-Dimensional Nonlinear Feature Selection for Big Biological
  Data

Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data

14 August 2016
M. Yamada
Jiliang Tang
Jose Lugo-Martinez
Ermin Hodzic
Raunak Shrestha
A. Saha
H. Ouyang
Dawei Yin
Hiroshi Mamitsuka
Cenk Sahinalp
P. Radivojac
Filippo Menczer
Yi-Ju Chang
ArXivPDFHTML

Papers citing "Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data"

8 / 8 papers shown
Title
Towards Ultrahigh Dimensional Feature Selection for Big Data
Towards Ultrahigh Dimensional Feature Selection for Big Data
Mingkui Tan
Ivor W. Tsang
Li Wang
122
154
0
24 Sep 2012
Fast learning rate of multiple kernel learning: Trade-off between
  sparsity and smoothness
Fast learning rate of multiple kernel learning: Trade-off between sparsity and smoothness
Taiji Suzuki
Masashi Sugiyama
75
61
0
02 Mar 2012
Algorithms for Learning Kernels Based on Centered Alignment
Algorithms for Learning Kernels Based on Centered Alignment
Corinna Cortes
M. Mohri
Afshin Rostamizadeh
65
544
0
02 Mar 2012
High-Dimensional Feature Selection by Feature-Wise Kernelized Lasso
High-Dimensional Feature Selection by Feature-Wise Kernelized Lasso
M. Yamada
Wittawat Jitkrittum
Leonid Sigal
Eric Xing
Masashi Sugiyama
168
300
0
02 Feb 2012
Variable selection in nonparametric additive models
Variable selection in nonparametric additive models
Jian Huang
J. Horowitz
Fengrong Wei
223
550
0
20 Oct 2010
Minimax-optimal rates for sparse additive models over kernel classes via
  convex programming
Minimax-optimal rates for sparse additive models over kernel classes via convex programming
Garvesh Raskutti
Martin J. Wainwright
Bin Yu
123
287
0
21 Aug 2010
Exploring Large Feature Spaces with Hierarchical Multiple Kernel
  Learning
Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning
Francis R. Bach
BDL
103
250
0
09 Sep 2008
Sparse Additive Models
Sparse Additive Models
Pradeep Ravikumar
John D. Lafferty
Han Liu
Larry A. Wasserman
385
574
0
28 Nov 2007
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