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A classification learning algorithm robust to irrelevant features

https://doi.org/10.1007/bfb0057452
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/3-540-62858-4openalex-snapshot
Machine Learning: ECML-97
inferredcites →https://doi.org/10.1007/3-540-62858-4_74openalex-snapshot
Classification by Voting Feature Intervals
inferredcites →https://doi.org/10.1007/978-94-017-2053-3_9openalex-snapshot
Context-Sensitive Feature Selection for Lazy Learners
inferredcites →https://doi.org/10.1007/bf00116899openalex-snapshot
Classification by Feature Partitioning
inferredcites →https://doi.org/10.1007/bf00153759openalex-snapshot
Instance-Based Learning Algorithms
inferredcites →https://doi.org/10.1016/b978-1-55860-335-6.50043-xopenalex-snapshot
Prototype and Feature Selection by Sampling and Random Mutation Hill Climbing Algorithms
inferredcites →https://doi.org/10.1023/a:1006508722917openalex-snapshot
Control-Sensitive Feature Selection for Lazy Learners
inferredcites →https://doi.org/10.1023/a:1006593614256openalex-snapshot
A Review and Empirical Evaluation of Feature Weighting Methods for a Class of Lazy Learning Algorithms
inferredcites →https://doi.org/10.1109/cic.1997.647926openalex-snapshot
A supervised machine learning algorithm for arrhythmia analysis
inferredcites →https://doi.org/10.21236/ada292575openalex-snapshot
Selection of Relevant Features in Machine Learning.

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/s00521-023-08383-6openalex-snapshot
Wrapper-based optimized feature selection using nature-inspired algorithms
inferred← citeshttps://doi.org/10.1016/j.eswa.2009.06.037openalex-snapshot
Voting features based classifier with feature construction and its application to predicting financial distress
inferred← citeshttps://doi.org/10.1016/j.neucom.2019.12.014openalex-snapshot
Soft++, a multi-parametric non-saturating non-linearity that improves convergence in deep neural architectures
inferred← citeshttps://doi.org/10.1109/intellisys.2017.8324267openalex-snapshot
Hand signature and handwriting recognition as identification of the writer using gray level cooccurrence matrix and bootstrap
inferred← citeshttps://doi.org/10.1109/isitia.2016.7828625openalex-snapshot
Batik Lasem images classification using voting feature intervals 5 and statistical features selection approach
inferred← citeshttps://doi.org/10.14203/j.inkom.97openalex-snapshot
Identifikasi Pembicara Menggunakan Algoritme VFI5 dengan MFCC sebagai Pengekstraksi Ciri
inferred← citeshttps://doi.org/10.24912/computatio.v1i1.238openalex-snapshot
PREDIKSI MASA STUDI MAHASISWA DENGAN VOTING FEATURE INTERVAL 5 PADA APLIKASI KONSULTASI AKADEMIK ONLINE
inferred← citeshttps://doi.org/10.29244/jika.1.1.7-12openalex-snapshot
Pengenalan Tanda Tangan Menggunakan Algoritme VFI5 Melalui Praproses Wavelet
inferred← citeshttps://doi.org/10.31645/jisrc.24.22.1.3openalex-snapshot
Improvement of Voting Feature Interval using Empiric Distribution for Prediction of Rainfall Categories on Sub-Seasonal to Seasonal Scale
inferred← citeshttps://doi.org/10.3390/en12132530openalex-snapshot
Effect of Irrelevant Variables on Faulty Wafer Detection in Semiconductor Manufacturing
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