Information-theoretic feature selection for a neural behavioral model

Information-Theoretic Feature Selection for the Classification of Hysteresis Curves

Computational and Ambient Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-540-73007-1_64 ◽

2007 ◽

pp. 522-529 ◽

Author(s):

Vanessa Gómez-Verdejo ◽

Michel Verleysen ◽

Jérôme Fleury

Keyword(s):

Feature Selection ◽

Information Theoretic ◽

Hysteresis Curves ◽

Information-Theoretic Feature Selection for Classification

2007 American Control Conference ◽

10.1109/acc.2007.4282270 ◽

2007 ◽

Author(s):

Alok A. Joshi ◽

Scott M. James ◽

Peter H. Meckl ◽

Galen B. King ◽

Kristofer Jennings

Keyword(s):

Feature Selection ◽

Information Theoretic ◽

Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS) ◽

Information theoretic feature selection for high dimensional metagenomic data

10.1109/gensips.2012.6507749 ◽

2012 ◽

Cited By ~ 6

Author(s):

Gregory Ditzler ◽

Gail Rosen ◽

Robi Polikar

Keyword(s):

Feature Selection ◽

Metagenomic Data ◽

High Dimensional ◽

Information Theoretic ◽

An Information-theoretic Approach to Unsupervised Feature Selection for High-Dimensional Data

10.3390/ecea-5-06697 ◽

2019 ◽

Author(s):

Shao-Lun Huang

Keyword(s):

Feature Selection ◽

High Dimensional Data ◽

High Dimensional ◽

Theoretic Approach ◽

Unsupervised Feature Selection ◽

Information Theoretic ◽

Selection For ◽

Information Theoretic Approach

Fed-FiS: a Novel Information-Theoretic Federated Feature Selection for Learning Stability

10.1007/978-3-030-92307-5_56 ◽

2021 ◽

pp. 480-487

Author(s):

Sourasekhar Banerjee ◽

Erik Elmroth ◽

Monowar Bhuyan

Keyword(s):

Feature Selection ◽

Information Theoretic ◽

A scalable implementation of information theoretic feature selection for high dimensional data

2015 IEEE International Conference on Big Data (Big Data) ◽

10.1109/bigdata.2015.7363774 ◽

2015 ◽

Cited By ~ 2

Author(s):

Anthony Kleerekoper ◽

Michael Pappas ◽

Adam Pocock ◽

Gavin Brown ◽

Mikel Lujan

Keyword(s):

Feature Selection ◽

High Dimensional Data ◽

High Dimensional ◽

Information Theoretic ◽

Information-Theoretic Based Feature Selection for Multi-Voxel Pattern Analysis of fMRI Data

Brain Informatics - Lecture Notes in Computer Science ◽

10.1007/978-3-642-35139-6_19 ◽

2012 ◽

pp. 196-208 ◽

Cited By ~ 6

Author(s):

Chun-An Chou ◽

Kittipat “Bot” Kampa ◽

Sonya H. Mehta ◽

Rosalia F. Tungaraza ◽

W. Art Chaovalitwongse ◽

...

Keyword(s):

Feature Selection ◽

Pattern Analysis ◽

Fmri Data ◽

Information Theoretic ◽

Information-theoretic feature selection for functional data classification

Neurocomputing ◽

10.1016/j.neucom.2008.12.035 ◽

2009 ◽

Vol 72 (16-18) ◽

pp. 3580-3589 ◽

Cited By ~ 38

Author(s):

Vanessa Gómez-Verdejo ◽

Michel Verleysen ◽

Jérôme Fleury

Keyword(s):

Feature Selection ◽

Functional Data ◽

Data Classification ◽

Information Theoretic ◽

A novel information theoretic approach to wavelet feature selection for texture classification

Computers & Electrical Engineering ◽

10.1016/j.compeleceng.2012.11.003 ◽

2013 ◽

Vol 39 (2) ◽

pp. 319-325 ◽

Author(s):

Imran Naseem ◽

Duc-Son Pham ◽

Svetha Venkatesh

Keyword(s):

Feature Selection ◽

Texture Classification ◽

Theoretic Approach ◽

Information Theoretic ◽

Selection For ◽

Information Theoretic Approach

An Information-Theoretic Approach to Unsupervised Feature Selection for High-Dimensional Data

IEEE Journal on Selected Areas in Information Theory ◽

10.1109/jsait.2020.2981538 ◽

2020 ◽

Vol 1 (1) ◽

pp. 157-166

Author(s):

Shao-Lun Huang ◽

Xiangxiang Xu ◽

Lizhong Zheng

Keyword(s):

Feature Selection ◽

High Dimensional Data ◽

High Dimensional ◽

Theoretic Approach ◽

Unsupervised Feature Selection ◽

Information Theoretic ◽

Selection For ◽

Information Theoretic Approach