:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Cao, Chunxu, Zhang, Qiang
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2401.07482
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Feature Selection via Maximizing Distances between Class Conditional Distributions
by: Cao, Chunxu, et al.
Published: (2024)

Study Features via Exploring Distribution Structure
by: Cao, Chunxu, et al.
Published: (2024)

LCEN: A Nonlinear, Interpretable Feature Selection and Machine Learning Algorithm
by: Seber, Pedro, et al.
Published: (2024)

Quantum Machine Learning via Contrastive Training
by: Zhukas, Liudmila A., et al.
Published: (2025)

High-dimensional Analysis of Synthetic Data Selection
by: Rezaei, Parham, et al.
Published: (2025)

Causal Feature Selection for Responsible Machine Learning
by: Moraffah, Raha, et al.
Published: (2024)

A Copula Based Supervised Filter for Feature Selection in Diabetes Risk Prediction Using Machine Learning
by: Aich, Agnideep, et al.
Published: (2025)

i-IF-Learn: Iterative Feature Selection and Unsupervised Learning for High-Dimensional Complex Data
by: Ma, Chen, et al.
Published: (2026)

Machine Learning Algorithm for Noise Reduction and Disease-Causing Gene Feature Extraction in Gene Sequencing Data
by: Si, Weichen, et al.
Published: (2025)

Unsupervised Feature Selection Algorithm Based on Dual Manifold Re-ranking
by: Liang, Yunhui, et al.
Published: (2024)

Unsupervised Feature Selection Algorithm Based on Graph Filtering and Self-representation
by: Liang, Yunhui, et al.
Published: (2024)

Distilling A Universal Expert from Clustered Federated Learning
by: Leng, Zeqi, et al.
Published: (2025)

Unlock the Power of Algorithm Features: A Generalization Analysis for Algorithm Selection
by: Wu, Xingyu, et al.
Published: (2024)

Tabular Data Contrastive Learning via Class-Conditioned and Feature-Correlation Based Augmentation
by: Cui, Wei, et al.
Published: (2024)

CLIPLoss and Norm-Based Data Selection Methods for Multimodal Contrastive Learning
by: Wang, Yiping, et al.
Published: (2024)

Local Feature Selection without Label or Feature Leakage for Interpretable Machine Learning Predictions
by: Oosterhuis, Harrie, et al.
Published: (2024)

Evaluating Fair Feature Selection in Machine Learning for Healthcare
by: Zawad, Md Rahat Shahriar, et al.
Published: (2024)

Robust Variable Selection for High-dimensional Regression with Missing Data and Measurement Errors
by: Zhang, Zhenhao, et al.
Published: (2024)

A Generalized Learning Framework for Self-Supervised Contrastive Learning
by: Si, Lingyu, et al.
Published: (2025)

Repetitive Contrastive Learning Enhances Mamba's Selectivity in Time Series Prediction
by: Yan, Wenbo, et al.
Published: (2025)

FSDR: A Novel Deep Learning-based Feature Selection Algorithm for Pseudo Time-Series Data using Discrete Relaxation
by: Rahman, Mohammad, et al.
Published: (2024)

Variable Selection for Comparing High-dimensional Time-Series Data
by: Mitsuzawa, Kensuke, et al.
Published: (2024)

Machine Learning-Based Differential Diagnosis of Parkinson's Disease Using Kinematic Feature Extraction and Selection
by: Matsumoto, Masahiro, et al.
Published: (2025)

A Novel Pearson Correlation-Based Merging Algorithm for Robust Distributed Machine Learning with Heterogeneous Data
by: Rahmat, Mohammad Ghabel, et al.
Published: (2025)

Personalized Fall Detection by Balancing Data with Selective Feedback Using Contrastive Learning
by: Yasmin, Awatif, et al.
Published: (2026)

A new computationally efficient algorithm to solve Feature Selection for Functional Data Classification in high-dimensional spaces
by: Boschi, Tobia, et al.
Published: (2024)

KGroups: A Versatile Univariate Max-Relevance Min-Redundancy Feature Selection Algorithm for High-dimensional Biological Data
by: Ebiele, Malick, et al.
Published: (2026)

Machine Unlearning in Contrastive Learning
by: Wang, Zixin, et al.
Published: (2024)

Stroke Disease Classification Using Machine Learning with Feature Selection Techniques
by: Hasan, Mahade, et al.
Published: (2025)

Cost-sensitive Feature Selection for Support Vector Machines
by: Benítez-Peña, Sandra, et al.
Published: (2024)

Quantum Annealing for Machine Learning: Applications in Feature Selection, Instance Selection, and Clustering
by: Pomeroy, Chloe, et al.
Published: (2025)

A Comparative Study of Machine Learning Algorithms for Electricity Price Forecasting with LIME-Based Interpretability
by: Zhao, Xuanyi, et al.
Published: (2025)

LetheViT: Selective Machine Unlearning for Vision Transformers via Attention-Guided Contrastive Learning
by: Tong, Yujia, et al.
Published: (2025)

Contrastive Unlearning: A Contrastive Approach to Machine Unlearning
by: Lee, Hong kyu, et al.
Published: (2024)

FeatureCuts: Feature Selection for Large Data by Optimizing the Cutoff
by: Hu, Andy, et al.
Published: (2025)

Bayesian Optimization for Simultaneous Selection of Machine Learning Algorithms and Hyperparameters on Shared Latent Space
by: Ishikawa, Kazuki, et al.
Published: (2025)

Reinforcement Learning-based Feature Generation Algorithm for Scientific Data
by: Xiao, Meng, et al.
Published: (2025)

Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning
by: Zhang, Jihai, et al.
Published: (2024)

Optimising Random Forest Machine Learning Algorithms for User VR Experience Prediction Based on Iterative Local Search-Sparrow Search Algorithm
by: Tang, Xirui, et al.
Published: (2024)

Feature-Selective Representation Misdirection for Machine Unlearning
by: Chen, Taozhao, et al.
Published: (2025)