Information-theoretic feature selection for functional data classification

Neurocomputing ◽

10.1016/j.neucom.2008.12.035 ◽

2009 ◽

Vol 72 (16-18) ◽

pp. 3580-3589 ◽

Author(s):

Vanessa Gómez-Verdejo ◽

Michel Verleysen ◽

Jérôme Fleury

Keyword(s):

Feature Selection ◽

Functional Data ◽

Data Classification ◽

Information Theoretic ◽

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Feature Selection for Hyperspectral Data Classification Using Double Parallel Feedforward Neural Networks

Fuzzy Systems and Knowledge Discovery - Lecture Notes in Computer Science ◽

10.1007/11540007_8 ◽

2005 ◽

pp. 58-66 ◽

Author(s):

Mingyi He ◽

Rui Huang

Keyword(s):

Neural Networks ◽

Feature Selection ◽

Data Classification ◽

Feedforward Neural Networks ◽

Hyperspectral Data ◽

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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 ◽

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Weighted ReliefF with threshold constraints of feature selection for imbalanced data classification

Concurrency and Computation Practice and Experience ◽

10.1002/cpe.5691 ◽

2020 ◽

Vol 32 (14) ◽

Author(s):

Yan Song ◽

Weiyun Si ◽

Feifan Dai ◽

Guisong Yang

Keyword(s):

Feature Selection ◽

Imbalanced Data ◽

Data Classification ◽

Imbalanced Data Classification ◽

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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 ◽

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Feature selection for remote-sensing data classification

10.1117/12.196757 ◽

1994 ◽

Author(s):

Sebastiano B. Serpico ◽

Paolo Pellegretti ◽

Lorenzo Bruzzone

Keyword(s):

Remote Sensing ◽

Feature Selection ◽

Remote Sensing Data ◽

Data Classification ◽

Sensing Data ◽

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Information theoretic feature selection for high dimensional metagenomic data

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

10.1109/gensips.2012.6507749 ◽

2012 ◽

Author(s):

Gregory Ditzler ◽

Gail Rosen ◽

Robi Polikar

Keyword(s):

Feature Selection ◽

Metagenomic Data ◽

High Dimensional ◽

Information Theoretic ◽

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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

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Feature Selection for Financial Data Classification: Islamic Finance Application

2018 IEEE 5th International Conference on Smart Instrumentation, Measurement and Application (ICSIMA) ◽

10.1109/icsima.2018.8688803 ◽

2018 ◽

Author(s):

Mira Kartiwi ◽

Teddy Surya Gunawan ◽

Tika Arundina ◽

Mohd Azmi Omar

Keyword(s):

Feature Selection ◽

Data Classification ◽

Financial Data ◽

Islamic Finance ◽

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Feature Selection for Symbolic Data Classification

New Approaches in Classification and Data Analysis - Studies in Classification, Data Analysis, and Knowledge Organization ◽

10.1007/978-3-642-51175-2_48 ◽

1994 ◽

pp. 423-429 ◽

Author(s):

Manabu Ichino

Keyword(s):

Feature Selection ◽

Data Classification ◽

Symbolic Data ◽

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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 ◽

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