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56 682 (0,261s)

Result

Multi-class classification of COVID-19 documents using machine learning algorithms

Main topics of the document: multi-class classification; machine learning algorithms; text mining; COVID-19...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2023
  • Jimp
  • Link
Result

Sparse solution of least-squares twin multi-class support vector machine using l_0 and l_p-norm for classification and feature selection

Main topics of the document: multi-class classification; twin k-class support vector classification; least-squares; cardinality-constrained optimization problem; l_p-norm; feature selection......

Statistics and probability

  • 2023
  • Jimp
  • Link
Result

Sparse least squares K-SVCR multi-class classification

in multi-class classification. Leveraging a "1-versus-1-versus-rest" on the optimal solution norm. Experimental results on multi-class classification datasetsThis paper introduces a nove...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2024
  • Jimp
  • Link
Result

Newton-based approach to solving K-SVCR and Twin-KSVC multi-class classification in the primal space

Multi-class classification is an important problem in machine learning, which classification-regression machine for -class classification (K-SVCR) and twin -class support vector class...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2023
  • Jimp
  • Link
Result

Variance estimation for two-class and multi-class ROC analysis using operating point averaging

Basic themes of document: receiver operator characteristic; classification...

BD - Teorie informace

  • 2008
  • D
Result

Least squares K-SVCR multi-class classification

The support vector classification-regression machine for K-class classification (K-SVCR) is a novel multi-class classification method based on 1-versus-1-versus-rest structure. In this paper, we p...

Economic Theory

  • 2020
  • D
  • Link
Result

Bounds for sparse solutions of K-SVCR multi-class classification model

The support vector classification-regression machine for k-class classification (K-SVCR) is a novel multi-class classification approach based on the 1-versus-1-versus-rest structure. In this work,...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2023
  • D
  • Link
Result

Adapting a Fuzzy Random Forest for Ordinal Multi-Class Classification

. This is a particular case of multi-class classification where the order between the classes. They combine the outputs of multiple Fuzzy Decision Trees to improve the classification to the use of fuzzy lo...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2022
  • D
  • Link
Result

Kernel representation of the Kesler construction for Multi-class SVM classification

Not available...

JD - Využití počítačů, robotika a její aplikace

  • 2002
  • D
Result

MORD: Multi-class Classifier for Ordinal Regression

We show that classification rules used in ordinal regression are equivalent to a certain class of linear multi-class classifiers. This observation not only allows to design new learning algorithms for ordinal regre...

JD - Využití počítačů, robotika a její aplikace

  • 2013
  • D
  • Link
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