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Comparing the One-vs-One and One-vs-All Methods in Benthic Macroinvertebrate Image Classification

BOOK CHAPTER published 2011 in Machine Learning and Data Mining in Pattern Recognition

Authors: Henry Joutsijoki | Martti Juhola

Authorship verification as a one-class classification problem

PROCEEDINGS ARTICLE published 2004 in Twenty-first international conference on Machine learning - ICML '04

Authors: Moshe Koppel | Jonathan Schler

Modifying the Decision Function in One-Against-All Algorithm for Multi-Classification

PROCEEDINGS ARTICLE published 2006 in 2006 International Conference on Machine Learning and Cybernetics

Authors: Bo Liu | Zhi-feng Hao | Xiao-wei Yang

Realtime Email Delivery Failure Prediction Using the One-vs-All Classifier

PROCEEDINGS ARTICLE published December 2018 in 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA)

Authors: Giruba Beulah S.E. | Abhijeet Singhai | Rashmi Ranjan Parida

Classification accuracy: Machine learning vs. explicit knowledge acquisition

JOURNAL ARTICLE published January 1995 in Machine Learning

Authors: Arie Ben-David | Janice Mandel

KNN vs. Bluecat—Machine Learning vs. Classical Statistics

JOURNAL ARTICLE published 6 June 2022 in Hydrology

Authors: Evangelos Rozos | Demetris Koutsoyiannis | Alberto Montanari

Data Classification

BOOK CHAPTER published 2017 in MATLAB Machine Learning

Authors: Michael Paluszek | Stephanie Thomas

In Defense of C4.5: Notes on Learning One-Level Decision Trees

BOOK CHAPTER published 1994 in Machine Learning Proceedings 1994

Authors: Tapio Elomaa

Speeding-up one-versus-all training for extreme classification via mean-separating initialization

JOURNAL ARTICLE published November 2022 in Machine Learning

Research funded by Academy of Finland (347707)

Authors: Erik Schultheis | Rohit Babbar

GMM and kernel-based speaker recognition with the ISIP toolkit

PROCEEDINGS ARTICLE published in Proceedings of the 2004 14th IEEE Signal Processing Society Workshop Machine Learning for Signal Processing, 2004.

Authors: T. Imbiriba | A. Klautau | N. Parihar | S. Raghavan | J. Picone

Adversarial Machine Learning and Defense Game for NextG Signal Classification with Deep Learning

PROCEEDINGS ARTICLE published 28 November 2022 in MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM)

Authors: Yalin E. Sagduyu

Unsupervised few-shot image classification via one-vs-all contrastive learning

JOURNAL ARTICLE published April 2023 in Applied Intelligence

Research funded by Key Program of the National Natural Science Foundation of China (62136003) | National Natural Science Foundation of China (61772200 and 61772201) | Shanghai Pujiang Talent Program (17PJ1401900) | Shanghai Economic and Information Commission ”Special Fund for Information Development” (XX-XXFZ-02-20-2463)

Authors: Zijun Zheng | Xiang Feng | Huiqun Yu | Xiuquan Li | Mengqi Gao

One-Versus-One and One-Versus-All Multiclass SVM-RFE for Gene Selection in Cancer Classification

BOOK CHAPTER published in Lecture Notes in Computer Science

Authors: Kai-Bo Duan | Jagath C. Rajapakse | Minh N. Nguyen

Application of Machine Learning Methods for Air Defense Target Classification

PROCEEDINGS ARTICLE published April 2019 in 2019 27th Signal Processing and Communications Applications Conference (SIU)

Authors: Özgür Tuncer

Naive Bayesian Classification of Structured Data

JOURNAL ARTICLE published December 2004 in Machine Learning

Authors: Peter A. Flach | Nicolas Lachiche

Machine learning based blog classification personal vs. official facet

PROCEEDINGS ARTICLE published March 2011 in 2011 3rd International Conference on Computer Research and Development

One-Vs-All Training of Prototype Classifier for Pattern Classification and Retrieval

PROCEEDINGS ARTICLE published August 2010 in 2010 20th International Conference on Pattern Recognition

Authors: Cheng-Lin Liu

Mahalanobis Ellipsoidal Learning Machine for One Class Classification

PROCEEDINGS ARTICLE published 2007 in 2007 International Conference on Machine Learning and Cybernetics

Authors: Xun-Kai Wei | Guang-Bin Huang | Ying-Hong Li

SoK: Machine vs. machine – A systematic classification of automated machine learning-based CAPTCHA solvers

JOURNAL ARTICLE published October 2020 in Computers & Security

Research funded by Horizon 2020 (786669,830929) | Research Promotion Foundation (ENTERPRISES/0916/0063)

Authors: Antreas Dionysiou | Elias Athanasopoulos

Exploring classification heterogeneity with IPA

PROCEEDINGS ARTICLE published in 2004 International Conference on Machine Learning and Applications, 2004. Proceedings.

Authors: I. Skrypnyk