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Study and Observation of the Variation of Accuracies of KNN, SVM, LMNN,
  ENN Algorithms on Eleven Different Datasets from UCI Machine Learning
  Repository
v1v2v3 (latest)

Study and Observation of the Variation of Accuracies of KNN, SVM, LMNN, ENN Algorithms on Eleven Different Datasets from UCI Machine Learning Repository

17 September 2018
Mohammad Mahmudur Rahman Khan
Rezoana Bente Arif
M. Siddique
M. Oishe
ArXiv (abs)PDFHTML

Papers citing "Study and Observation of the Variation of Accuracies of KNN, SVM, LMNN, ENN Algorithms on Eleven Different Datasets from UCI Machine Learning Repository"

7 / 7 papers shown
Training Variation of Physically-Informed Deep Learning Models
Training Variation of Physically-Informed Deep Learning Models
Ashley Lenau
Dennis Dimiduk
Stephen R. Niezgoda
175
0
0
03 Oct 2025
Transforming Multidimensional Time Series into Interpretable Event
  Sequences for Advanced Data Mining
Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Mining
Xu Yan
Yaoting Jiang
Wenyi Liu
Didi Yi
Jianjun Wei
AI4TS
132
0
0
22 Sep 2024
TransBoost: A Boosting-Tree Kernel Transfer Learning Algorithm for
  Improving Financial Inclusion
TransBoost: A Boosting-Tree Kernel Transfer Learning Algorithm for Improving Financial InclusionAAAI Conference on Artificial Intelligence (AAAI), 2021
Yiheng Sun
Tian Lu
Cong Wang
Yuan Li
Huaiyu Fu
Jingran Dong
Y. Xu
226
6
0
04 Dec 2021
Deep Learning Image Recognition for Non-images
Deep Learning Image Recognition for Non-images
Boris Kovalerchuk
D. Kalla
Bedant Agarwal
176
3
0
28 Jun 2021
Hopfield Networks is All You Need
Hopfield Networks is All You NeedInternational Conference on Learning Representations (ICLR), 2020
Hubert Ramsauer
Bernhard Schafl
Johannes Lehner
Philipp Seidl
Michael Widrich
...
David P. Kreil
Michael K Kopp
Günter Klambauer
Johannes Brandstetter
Sepp Hochreiter
667
609
0
16 Jul 2020
Performance Evaluation of t-SNE and MDS Dimensionality Reduction
  Techniques with KNN, ENN and SVM Classifiers
Performance Evaluation of t-SNE and MDS Dimensionality Reduction Techniques with KNN, ENN and SVM Classifiers
S. Sakib
M. Siddique
Mohamed Abdur Rahman
160
15
0
20 Jun 2020
Performance Analysis of Deep Autoencoder and NCA Dimensionality
  Reduction Techniques with KNN, ENN and SVM Classifiers
Performance Analysis of Deep Autoencoder and NCA Dimensionality Reduction Techniques with KNN, ENN and SVM ClassifiersInternational Conference Innovation Engineering and Technology (ICIET), 2019
M. Siddique
S. Sakib
Mohamed Abdur Rahman
178
4
0
11 Dec 2019
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